Package: adductData Version: 1.18.0 Depends: R (>= 3.6) Imports: ExperimentHub (>= 1.9.0), AnnotationHub (>= 2.13.10), stats (>= 3.5.0), utils (>= 3.5.0), methods (>= 3.5.0), datasets (>= 3.5.0) Suggests: knitr (>= 1.15.1), rmarkdown (>= 1.5) License: Artistic-2.0 MD5sum: bf0e3549ee672a31f32759f0535f360a NeedsCompilation: no Title: Data from untargeted MS of modifications to Cys34 of serum albumin Description: mzXML files from Grigoryan et al 2016 (Anal Chem). biocViews: ExperimentData,MassSpectrometryData,ExperimentHub Author: Josie Hayes Maintainer: Josie Hayes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/adductData git_branch: RELEASE_3_18 git_last_commit: b94004e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/adductData_1.18.0.tar.gz vignettes: vignettes/adductData/inst/doc/adductData.html vignetteTitles: Raw mzXML data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/adductData/inst/doc/adductData.R dependsOnMe: adductomicsR dependencyCount: 96 Package: affycompData Version: 1.40.0 Depends: R (>= 2.13.0), methods, Biobase (>= 2.3.3), affycomp License: GPL (>= 2) MD5sum: 205391e19fb160dcff1531892f28b006 NeedsCompilation: no Title: affycomp data Description: Data needed by the affycomp package. biocViews: MicroarrayData Author: Rafael A. Irizarry and Zhijin Wu with contributions from Simon Cawley Maintainer: Robert D Shear URL: https://bioconductor.org/packages/affycompData BugReports: https://github.com/rafalab/affyCompData/issues git_url: https://git.bioconductor.org/packages/affycompData git_branch: RELEASE_3_18 git_last_commit: 3b95315 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/affycompData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affycomp dependencyCount: 7 Package: affydata Version: 1.50.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Imports: methods Suggests: hgu95av2cdf, hgu133acdf License: GPL (>= 2) MD5sum: 29caf389ca94d4c0c0b27d993f33354c NeedsCompilation: no Title: Affymetrix Data for Demonstration Purpose Description: Example datasets of a slightly large size. They represent 'real world examples', unlike the artificial examples included in the package affy. biocViews: ExperimentData, Tissue, MicroarrayData, TissueMicroarrayData Author: Laurent Gautier Maintainer: Robert D Shear URL: https://bioconductor.org/packages/affydata BugReports: https://github.com/rafalab/affydata/issues git_url: https://git.bioconductor.org/packages/affydata git_branch: RELEASE_3_18 git_last_commit: 203e040 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/affydata_1.50.0.tar.gz vignettes: vignettes/affydata/inst/doc/affydata.pdf vignetteTitles: affydata primer hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/affydata/inst/doc/affydata.R dependsOnMe: affyContam suggestsMe: affy, affycoretools, affyPLM, arrayMvout, bgx, Biostrings, gcrma, Harman, mimager, puma, pvac, TurboNorm, vsn, RobLoxBioC dependencyCount: 12 Package: Affyhgu133A2Expr Version: 1.38.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 56296960e5539a4fd84724344f30aaaa NeedsCompilation: no Title: Affymetrix Human Genome U133A 2.0 Array (GPL571) Expression Data Package Description: Contains pre-built human (GPL571) databases of gene expression profiles. The gene expression data was downloaded from NCBI GEO and preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133A2Expr git_branch: RELEASE_3_18 git_last_commit: 6015b5e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Affyhgu133A2Expr_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133aExpr Version: 1.40.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 2cf458278c574450a3a5ffe64a2aa72b NeedsCompilation: no Title: Affymetrix Human hgu133a Array (GPL96) Expression Data Package Description: Contains pre-built human (GPL96) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO, preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133aExpr git_branch: RELEASE_3_18 git_last_commit: 9f25e5a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Affyhgu133aExpr_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: Affyhgu133Plus2Expr Version: 1.36.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: f8baac83db4de07f941552d7b62c8d62 NeedsCompilation: no Title: Affyhgu133Plus2Expr (GPL570) Expression Data Package Description: Contains pre-built human (GPL570) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO and preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Homo_sapiens_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affyhgu133Plus2Expr git_branch: RELEASE_3_18 git_last_commit: 4ab2e94 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Affyhgu133Plus2Expr_1.36.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: AffymetrixDataTestFiles Version: 0.40.0 Depends: R (>= 2.5.0) License: LGPL-2.1 MD5sum: 57ecb8e4d3f0d7a9cdcedb2a9648dd1e NeedsCompilation: no Title: Affymetrix Data Files (CEL, CDF, CHP, EXP, PGF, PSI) for Testing Description: This package contains annotation data files and sample data files of Affymetrix file formats. The files originate from the Affymetrix' Fusion SDK distribution and other official sources. biocViews: ExperimentData, MicroarrayData Author: Henrik Bengtsson [aut, cre], James Bullard [aut], Kasper Daniel Hansen [aut] Maintainer: Henrik Bengtsson git_url: https://git.bioconductor.org/packages/AffymetrixDataTestFiles git_branch: RELEASE_3_18 git_last_commit: 6b95627 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/AffymetrixDataTestFiles_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: affxparser, affyILM, aroma.affymetrix dependencyCount: 0 Package: Affymoe4302Expr Version: 1.40.0 Depends: R (>= 2.10) License: GPL (>=2) MD5sum: 4dcd432d350cf2f8000f67774d95481c NeedsCompilation: no Title: Affymetrix Mouse Genome 430 2.0 Array (GPL1261) Expression Data Package Description: Contains pre-built mouse (GPL1261) database of gene expression profiles. The gene expression data was downloaded from NCBI GEO, preprocessed and normalized consistently. The biological context of each sample was recorded and manually verified based on the sample description in GEO. biocViews: Genome, Mus_musculus_Data, GEO Author: Zhicheng Ji, Hongkai Ji Maintainer: Zhicheng Ji git_url: https://git.bioconductor.org/packages/Affymoe4302Expr git_branch: RELEASE_3_18 git_last_commit: ecfdd0d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Affymoe4302Expr_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GSCA dependencyCount: 0 Package: airway Version: 1.22.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: knitr, GEOquery, markdown License: LGPL MD5sum: ffed4ae3349ebeeeabff9f1456b8ba1d NeedsCompilation: no Title: RangedSummarizedExperiment for RNA-Seq in airway smooth muscle cells, by Himes et al PLoS One 2014 Description: This package provides a RangedSummarizedExperiment object of read counts in genes for an RNA-Seq experiment on four human airway smooth muscle cell lines treated with dexamethasone. Details on the gene model and read counting procedure are provided in the package vignette. The citation for the experiment is: Himes BE, Jiang X, Wagner P, Hu R, Wang Q, Klanderman B, Whitaker RM, Duan Q, Lasky-Su J, Nikolos C, Jester W, Johnson M, Panettieri R Jr, Tantisira KG, Weiss ST, Lu Q. 'RNA-Seq Transcriptome Profiling Identifies CRISPLD2 as a Glucocorticoid Responsive Gene that Modulates Cytokine Function in Airway Smooth Muscle Cells.' PLoS One. 2014 Jun 13;9(6):e99625. PMID: 24926665. GEO: GSE52778. biocViews: ExperimentData, SequencingData, RNASeqData, GEO Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/airway git_branch: RELEASE_3_18 git_last_commit: 71d0bfb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/airway_1.22.0.tar.gz vignettes: vignettes/airway/inst/doc/airway.html vignetteTitles: Airway smooth muscle cells hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/airway/inst/doc/airway.R dependsOnMe: rnaseqGene importsMe: consensusDE, NetActivity suggestsMe: apeglm, awst, biobroom, BioCor, BiocSet, CeTF, DelayedArray, DESeq2, EnhancedVolcano, EnrichmentBrowser, ExperimentSubset, gg4way, ideal, IHW, InteractiveComplexHeatmap, iSEEde, iSEEpathways, iSEEu, OPWeight, pathwayPCA, pcaExplorer, PCAtools, progeny, runibic, Rvisdiff, SummarizedExperiment, TTMap, weitrix, IHWpaper, RegParallel, seqgendiff dependencyCount: 29 Package: ALL Version: 1.44.0 Depends: R (>= 2.10), Biobase (>= 2.5.5) Suggests: rpart License: Artistic-2.0 MD5sum: b80eb482b4937ef4eac01027ac95a61a NeedsCompilation: no Title: A data package Description: Data of T- and B-cell Acute Lymphocytic Leukemia from the Ritz Laboratory at the DFCI (includes Apr 2004 versions) biocViews: ExperimentData, CancerData, LeukemiaCancerData Author: Xiaochun Li Maintainer: Robert Gentleman git_url: https://git.bioconductor.org/packages/ALL git_branch: RELEASE_3_18 git_last_commit: 443566e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ALL_1.44.0.tar.gz vignettes: vignettes/ALL/inst/doc/ALLintro.pdf vignetteTitles: ALL data intro hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ALL/inst/doc/ALLintro.R importsMe: ConsensusClusterPlus, dGAselID, scRNAtools suggestsMe: a4, a4Base, a4Classif, a4Preproc, Biobase, BioNet, Category, CellMapper, ChromHeatMap, clipper, EnrichmentBrowser, esetVis, genefilter, GeneSelectMMD, GOstats, graphite, GSAR, GSEAlm, MLInterfaces, npGSEA, pathRender, ReportingTools, rScudo, SNAGEE, topGO, SNAGEEdata, MMDvariance, nlcv dependencyCount: 6 Package: ALLMLL Version: 1.42.0 Depends: R (>= 2.10), affy (>= 1.23.4) License: GPL-2 MD5sum: 669e7ff030b6fea51c8013816bd6fae7 NeedsCompilation: no Title: A subset of arrays from a large acute lymphoblastic leukemia (ALL) study Description: This package provides probe-level data for 20 HGU133A and 20 HGU133B arrays which are a subset of arrays from a large ALL study. The data is for the MLL arrays. This data was published in Mary E. Ross, Xiaodong Zhou, Guangchun Song, Sheila A. Shurtleff, Kevin Girtman, W. Kent Williams, Hsi-Che Liu, Rami Mahfouz, Susana C. Raimondi, Noel Lenny, Anami Patel, and James R. Downing (2003) Classification of pediatric acute lymphoblastic leukemia by gene expression profiling Blood 102: 2951-2959 biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData Author: B. M. Bolstad git_url: https://git.bioconductor.org/packages/ALLMLL git_branch: RELEASE_3_18 git_last_commit: 681f566 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ALLMLL_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQualityMetrics, pvac dependencyCount: 12 Package: AmpAffyExample Version: 1.42.0 Depends: R (>= 2.4.0), affy (>= 1.23.4) Suggests: hgu133acdf License: LGPL (>= 2) MD5sum: 3277d6d26f145ddbb45c3808273cd150 NeedsCompilation: no Title: Example of Amplified Data Description: Six arrays. Three from amplified RNA, three from the typical procedure. biocViews: ExperimentData, MicroarrayData Author: Rafael A. Irizarry Maintainer: Robert D Shear URL: https://bioconductor.org/packages/AmpAffyExample BugReports: https://github.com/rafalab/AmpAffyExample/issues git_url: https://git.bioconductor.org/packages/AmpAffyExample git_branch: RELEASE_3_18 git_last_commit: 62d3a82 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/AmpAffyExample_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: AffyRNADegradation dependencyCount: 12 Package: AneuFinderData Version: 1.30.0 Depends: R (>= 3.3) License: file LICENSE MD5sum: 895230cd9b780dbb286a012f3c8777eb NeedsCompilation: no Title: WGSCS Data for Demonstration Purposes Description: Whole-genome single cell sequencing data for demonstration purposes in the AneuFinder package. biocViews: CopyNumberVariationData, LungCancerData, Homo_sapiens_Data, SequencingData Author: Aaron Taudt Maintainer: Aaron Taudt git_url: https://git.bioconductor.org/packages/AneuFinderData git_branch: RELEASE_3_18 git_last_commit: 573710c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/AneuFinderData_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: AneuFinder dependencyCount: 0 Package: antiProfilesData Version: 1.38.0 Depends: Biobase, Suggests: frma, GEOquery, GEOmetadb License: Artistic-2.0 MD5sum: dc40c00fb296b31cf65369e801d6f2f8 NeedsCompilation: no Title: Normal colon and cancer preprocessed affy data for antiProfile building. Description: Colon normal tissue and cancer samples used in Corrada Bravo, et al. gene expression anti-profiles paper: BMC Bioinformatics 2012, 13:272 doi:10.1186/1471-2105-13-272. Measurements are z-scores obtained from the GeneExpression Barcode in the 'frma' package biocViews: ExperimentData, MicroarrayData, Tissue, CancerData, ColonCancerData Author: Hector Corrada Bravo, Matthew McCall and Rafael A. Irizarry Maintainer: Hector Corrada Bravo git_url: https://git.bioconductor.org/packages/antiProfilesData git_branch: RELEASE_3_18 git_last_commit: c6c3ef5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/antiProfilesData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: antiProfiles, epivizr, epivizrChart, messina dependencyCount: 6 Package: aracne.networks Version: 1.28.0 Depends: R (>= 3.3), viper License: file LICENSE MD5sum: 42657d0acf4c1ba54aa2057fa4525d51 NeedsCompilation: no Title: ARACNe-inferred gene networks from TCGA tumor datasets Description: This package contains ARACNe-inferred networks from TCGA tumor datasets. It also contains a function to export them into plain-text format. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData Author: Federico M. Giorgi Maintainer: Federico M. Giorgi , Mariano Alvarez git_url: https://git.bioconductor.org/packages/aracne.networks git_branch: RELEASE_3_18 git_last_commit: 3c3a4fb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/aracne.networks_1.28.0.tar.gz vignettes: vignettes/aracne.networks/inst/doc/aracne.networks.pdf vignetteTitles: Using aracne.networks hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/aracne.networks/inst/doc/aracne.networks.R dependencyCount: 90 Package: ARRmData Version: 1.38.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: 95475f869b8ff3d6344c0f45f2e616c9 NeedsCompilation: no Title: Example dataset for normalization of Illumina 450k Methylation data Description: Raw Beta values from 36 samples across 3 groups from Illumina 450k methylation arrays biocViews: ExperimentData, MethylationArrayData Author: Jean-Philippe Fortin, Celia M.T. Greenwood, Aurelie Labbe Maintainer: Jean-Philippe Fortin git_url: https://git.bioconductor.org/packages/ARRmData git_branch: RELEASE_3_18 git_last_commit: 81fb277 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ARRmData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ARRmNormalization dependencyCount: 0 Package: AshkenazimSonChr21 Version: 1.32.0 Suggests: knitr, VariantAnnotation License: Artistic-2.0 MD5sum: a4455fab1d47dcf8dc2411fec1066a2c NeedsCompilation: no Title: Annotated variants on the chromosome 21, human genome 19, Ashkenazim Trio son sample Description: SonVariantsChr21 is a dataset of annotated genomic variants coming from Complete Genomics whole genome sequencing. Data comes from GIAB project, Ashkenazim Trio, sample HG002 run 1. Both vcf and annotated data frame are provided. biocViews: GenomicVariation, Sequencing, WholeGenome Author: Tomasz Stokowy Maintainer: Who to complain to VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/AshkenazimSonChr21 git_branch: RELEASE_3_18 git_last_commit: 798ba41 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/AshkenazimSonChr21_1.32.0.tar.gz vignettes: vignettes/AshkenazimSonChr21/inst/doc/AshkenazimSonChr21.pdf vignetteTitles: RareVariantVis hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/AshkenazimSonChr21/inst/doc/AshkenazimSonChr21.R dependencyCount: 0 Package: ASICSdata Version: 1.22.0 Depends: R (>= 3.5) Suggests: knitr, rmarkdown, BiocStyle License: GPL (>= 2) MD5sum: afb117c0db733e23239bf2cf4e18d364 NeedsCompilation: no Title: Example of 1D NMR spectra data for ASICS package Description: 1D NMR example spectra and additional data for use with the ASICS package. Raw 1D Bruker spectral data files were found in the MetaboLights database (https://www.ebi.ac.uk/metabolights/, study MTBLS1). biocViews: ExperimentData, Homo_sapiens_Data Author: Gaëlle Lefort [aut, cre], Rémi Servien [aut], Nathalie Villa-Vialaneix [aut] Maintainer: Gaëlle Lefort VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ASICSdata git_branch: RELEASE_3_18 git_last_commit: 4ba8a30 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ASICSdata_1.22.0.tar.gz vignettes: vignettes/ASICSdata/inst/doc/ASICSdata.html vignetteTitles: ASICSdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ASICS dependencyCount: 0 Package: AssessORFData Version: 1.20.0 Depends: R (>= 3.5.0) Imports: DECIPHER, utils Suggests: AssessORF, BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 0dd44e672021a9179762efe4959e8608 NeedsCompilation: no Title: Data and Files for the AssessORF Package Description: This package provides access to mapping and results objects generated by the AssessORF package, as well as the genome sequences for the strains corresponding to those objects. biocViews: OrganismData, Bacillus_subtilis_Data, Escherichia_coli_Data, Pseudomonas_aeruginosa_Data, Staphylococcus_aureus_Data, Genome, Proteome, SequencingData Author: Deepank Korandla [aut, cre] Maintainer: Deepank Korandla VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/AssessORFData git_branch: RELEASE_3_18 git_last_commit: ce79d8f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/AssessORFData_1.20.0.tar.gz vignettes: vignettes/AssessORFData/inst/doc/AssessORFDataGuide.pdf vignetteTitles: Using AssessORFData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/AssessORFData/inst/doc/AssessORFDataGuide.R suggestsMe: AssessORF dependencyCount: 36 Package: bcellViper Version: 1.38.0 Depends: R(>= 2.14.0), Biobase, methods License: GPL (>=2) MD5sum: 7e93bbaa204826358c77282e2a370074 NeedsCompilation: no Title: Human B-cell transcriptional interactome and normal human B-cell expression data Description: This package provides a human B-cell context-specific transcriptional regulatory network and a human normal B-cells dataset for the examples in package viper. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData Author: Mariano Javier Alvarez Maintainer: Mariano Javier Alvarez git_url: https://git.bioconductor.org/packages/bcellViper git_branch: RELEASE_3_18 git_last_commit: 121a0fb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/bcellViper_1.38.0.tar.gz vignettes: vignettes/bcellViper/inst/doc/bcellViper.pdf vignetteTitles: Using bcellViper hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bcellViper/inst/doc/bcellViper.R importsMe: dorothea suggestsMe: GenomicSuperSignature, iterClust, pageRank, viper dependencyCount: 6 Package: beadarrayExampleData Version: 1.40.0 Depends: R (>= 2.13.0), Biobase (>= 2.5.5), methods, beadarray (>= 2.0.0) License: GPL-2 MD5sum: d327e659adc868f1e3c7ae457c60087b NeedsCompilation: no Title: Example data for the beadarray package Description: An small dataset that can be used to run examples from the beadarray vignette and examples biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/beadarrayExampleData git_branch: RELEASE_3_18 git_last_commit: b19df3c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/beadarrayExampleData_1.40.0.tar.gz vignettes: vignettes/beadarrayExampleData/inst/doc/beadarrayExampleData.pdf vignetteTitles: beadarrayExampleData: example data for the beadarray package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/beadarrayExampleData/inst/doc/beadarrayExampleData.R suggestsMe: beadarray, MiRaGE, RobLoxBioC dependencyCount: 82 Package: BeadArrayUseCases Version: 1.40.0 Imports: beadarray (>= 2.3.18), limma, GEOquery Suggests: Biostrings, GenomicRanges, illuminaHumanv1.db, illuminaHumanv2.db, illuminaHumanv3.db License: GPL-2 MD5sum: a939c03744773755b9a80de63a925c3e NeedsCompilation: no Title: Analysing Illumina BeadArray expression data using Bioconductor Description: Example data files and use cases for processing Illumina BeadArray expression data using Bioconductor biocViews: MicroarrayData Author: Mark Dunning, Wei Shi, Andy Lynch, Mike Smith, Matt Ritchie Maintainer: Mike Smith git_url: https://git.bioconductor.org/packages/BeadArrayUseCases git_branch: RELEASE_3_18 git_last_commit: 85aa053 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/BeadArrayUseCases_1.40.0.tar.gz vignettes: vignettes/BeadArrayUseCases/inst/doc/BeadArrayUseCases.pdf vignetteTitles: BeadArrayUseCases.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BeadArrayUseCases/inst/doc/BeadArrayUseCases.R dependencyCount: 100 Package: BeadSorted.Saliva.EPIC Version: 1.10.0 Depends: R (>= 4.1), minfi(>= 1.36.0), ExperimentHub Suggests: knitr, rmarkdown License: GPL-3 MD5sum: ca080a144452fad8ce1bdf8e86d88c74 NeedsCompilation: no Title: Illumina EPIC data on BeadSorted child saliva cells Description: Raw data objects used to estimate saliva cell proportion estimates in ewastools. The FlowSorted.Saliva.EPIC object is constructed from samples assayed by Lauren Middleton et. al. (2021). biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData, Genome, MethylationArrayData, ExperimentHub Author: Jonah Fisher [aut, cre], Kelly Bakulski [aut], Lauren Middleton [aut] Maintainer: Jonah Fisher VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BeadSorted.Saliva.EPIC git_branch: RELEASE_3_18 git_last_commit: e2bfe0c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/BeadSorted.Saliva.EPIC_1.10.0.tar.gz vignettes: vignettes/BeadSorted.Saliva.EPIC/inst/doc/BeadSorted.Saliva.EPIC.html vignetteTitles: BeadSorted.Saliva.EPIC.html hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BeadSorted.Saliva.EPIC/inst/doc/BeadSorted.Saliva.EPIC.R dependencyCount: 172 Package: benchmarkfdrData2019 Version: 1.16.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang License: MIT + file LICENSE MD5sum: 50ce7eb4100da1909ddd6c71c31e7e0c NeedsCompilation: no Title: Data and Benchmarking Results from Korthauer and Kimes et al. (2019) Description: Benchmarking results for experimental and simulated data sets used in Korthauer and Kimes et al. (2019) to compare methods for controlling the false discovery rate. biocViews: SingleCellData, ExperimentData, RNASeqData, ExpressionData, ExperimentData, ExperimentHub Author: Stephanie Hicks [aut, cre] (), Keegan Korthauer [aut] (), Patrick Kimes [aut] () Maintainer: Stephanie Hicks VignetteBuilder: knitr BugReports: https://github.com/stephaniehicks/benchmarkfdrData2019/issues git_url: https://git.bioconductor.org/packages/benchmarkfdrData2019 git_branch: RELEASE_3_18 git_last_commit: 80fb82d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/benchmarkfdrData2019_1.16.0.tar.gz vignettes: vignettes/benchmarkfdrData2019/inst/doc/benchmarkfdrData2019.html vignetteTitles: Exploring and updating FDR benchmarking results hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/benchmarkfdrData2019/inst/doc/benchmarkfdrData2019.R dependencyCount: 106 Package: beta7 Version: 1.40.0 Depends: R (>= 2.4.0), marray License: LGPL MD5sum: 7beee3699282a97c765cf418036fc0ed NeedsCompilation: no Title: Rodriguez et al. (2004) Differential Gene Expression by Memory/Effector T Helper Cells Bearing the Gut-Homing Receptor Integrin alpha4 beta7. Description: Data from 6 gpr files aims to identify differential expressed genes between the beta 7+ and beta 7- memory T helper cells. biocViews: ExperimentData, Homo_sapiens_Data, CGHData, MicroarrayData Author: Jean Yang Maintainer: Jean Yang git_url: https://git.bioconductor.org/packages/beta7 git_branch: RELEASE_3_18 git_last_commit: ba9f40c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/beta7_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 8 Package: BioImageDbs Version: 1.10.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum Suggests: knitr, BiocStyle, purrr License: Artistic-2.0 MD5sum: 785e9ea81ef5699d70af969fd8d4703d NeedsCompilation: no Title: Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub) Description: The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras/tensorflow in R. biocViews: ExperimentHub, ExperimentData, CellCulture, Tissue Author: Satoshi Kume [aut, cre] (), Kozo Nishida [aut] () Maintainer: Satoshi Kume URL: https://kumes.github.io/BioImageDbs/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BioImageDbs git_branch: RELEASE_3_18 git_last_commit: 636f74e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/BioImageDbs_1.10.0.tar.gz vignettes: vignettes/BioImageDbs/inst/doc/BioImageBbs_Datasets.html, vignettes/BioImageDbs/inst/doc/BioImageDbs.html vignetteTitles: The BioImageBbs Datasets, Providing Bioimage Dataset for ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BioImageDbs/inst/doc/BioImageBbs_Datasets.R, vignettes/BioImageDbs/inst/doc/BioImageDbs.R dependencyCount: 112 Package: BioPlex Version: 1.8.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: BiocFileCache, GenomicRanges, GenomeInfoDb, GEOquery, graph, methods, utils Suggests: AnnotationDbi, AnnotationHub, BiocStyle, DEXSeq, ExperimentHub, GenomicFeatures, S4Vectors, depmap, knitr, rmarkdown License: Artistic-2.0 MD5sum: 77e38da3b194e7776fa7007a2cef42bf NeedsCompilation: no Title: R-side access to BioPlex protein-protein interaction data Description: The BioPlex package implements access to the BioPlex protein-protein interaction networks and related resources from within R. Besides protein-protein interaction networks for HEK293 and HCT116 cells, this includes access to CORUM protein complex data, and transcriptome and proteome data for the two cell lines. Functionality focuses on importing the various data resources and storing them in dedicated Bioconductor data structures, as a foundation for integrative downstream analysis of the data. biocViews: CellCulture, ColonCancerData, ExperimentHub, ExpressionData, GEO, Genome, Homo_sapiens_Data, MassSpectrometryData, Proteome, ReproducibleResearch, RNASeqData Author: Ludwig Geistlinger [aut, cre], Robert Gentleman [aut] Maintainer: Ludwig Geistlinger URL: https://github.com/ccb-hms/BioPlex VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/BioPlex/issues git_url: https://git.bioconductor.org/packages/BioPlex git_branch: RELEASE_3_18 git_last_commit: 0fe8113 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/BioPlex_1.8.0.tar.gz vignettes: vignettes/BioPlex/inst/doc/BasicChecks.html, vignettes/BioPlex/inst/doc/BioPlex.html vignetteTitles: 2. Data checks, 1. Data retrieval hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BioPlex/inst/doc/BasicChecks.R, vignettes/BioPlex/inst/doc/BioPlex.R dependencyCount: 85 Package: biotmleData Version: 1.26.0 Depends: R (>= 3.5.0) Suggests: Biobase, SummarizedExperiment License: file LICENSE MD5sum: 8c725d5c496f9bfe7ed4b5d5c538244a NeedsCompilation: no Title: Example experimental microarray data set for the "biotmle" R package Description: Microarray data (from the Illumina Ref-8 BeadChips platform) and phenotype-level data from an epidemiological investigation of benzene exposure, packaged using "SummarizedExperiemnt", for use as an example with the "biotmle" R package. biocViews: GeneExpression, DifferentialExpression, Sequencing, Microarray, RNASeq Author: Nima Hejazi [aut, cre] Maintainer: Nima Hejazi git_url: https://git.bioconductor.org/packages/biotmleData git_branch: RELEASE_3_18 git_last_commit: f8c220e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/biotmleData_1.26.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: biotmle dependencyCount: 0 Package: biscuiteerData Version: 1.16.0 Depends: R (>= 4.1.0), ExperimentHub Imports: AnnotationHub, utils, curl, GenomicRanges Suggests: knitr, rmarkdown, markdown License: GPL-3 MD5sum: 9610f1ea2c2e8303acbb0b52204f8d3e NeedsCompilation: no Title: Data Package for Biscuiteer Description: Contains default datasets used by the Bioconductor package biscuiteer. biocViews: ExperimentHub, ExperimentData, Genome, Homo_sapiens_Data Author: Tim Triche, Jr. [aut, cre], Wanding Zhou [aut], Ben Johnson [aut], Jacob Morrison [aut], Lyong Heo [aut] Maintainer: "Jacob Morrison" VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/biscuiteerData git_branch: RELEASE_3_18 git_last_commit: 470718c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/biscuiteerData_1.16.0.tar.gz vignettes: vignettes/biscuiteerData/inst/doc/biscuiteerData.html vignetteTitles: Biscuiteer User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/biscuiteerData/inst/doc/biscuiteerData.R dependsOnMe: biscuiteer dependencyCount: 96 Package: bladderbatch Version: 1.40.0 Depends: Biobase License: Artistic-2.0 MD5sum: d59d10a87e8d62c6ba10f7e9c0160a44 NeedsCompilation: no Title: Bladder gene expression data illustrating batch effects Description: This package contains microarray gene expression data on 57 bladder samples from 5 batches. The data are used as an illustrative example for the sva package. biocViews: ExperimentData, CancerData, MicroarrayData Author: Jeffrey T. Leek Maintainer: Jeffrey T. Leek git_url: https://git.bioconductor.org/packages/bladderbatch git_branch: RELEASE_3_18 git_last_commit: ac1635f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/bladderbatch_1.40.0.tar.gz vignettes: vignettes/bladderbatch/inst/doc/bladderbatch.pdf vignetteTitles: bladderbatchTutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bladderbatch/inst/doc/bladderbatch.R importsMe: RUVcorr suggestsMe: Harman, sva dependencyCount: 6 Package: blimaTestingData Version: 1.22.0 Depends: R(>= 3.0.0) Suggests: blima, beadarray, illuminaHumanv4.db, BiocStyle License: GPL-3 MD5sum: 3ae3da97d0d020e16feee29b93c24825 NeedsCompilation: no Title: Data for testing of the package blima. Description: Experiment data package. The set were prepared using microarray images of human mesenchymal cells treated with various supplements. This package is intended to provide example data to test functionality provided by blima. biocViews: MicroarrayData, ExperimentData, GEO Author: Vojtech Kulvait Maintainer: Vojtech Kulvait URL: https://bitbucket.org/kulvait/blima git_url: https://git.bioconductor.org/packages/blimaTestingData git_branch: RELEASE_3_18 git_last_commit: f167f7f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/blimaTestingData_1.22.0.tar.gz vignettes: vignettes/blimaTestingData/inst/doc/blimaTestingData.pdf vignetteTitles: blimaTestingData.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/blimaTestingData/inst/doc/blimaTestingData.R suggestsMe: blima dependencyCount: 0 Package: BloodCancerMultiOmics2017 Version: 1.22.1 Depends: R (>= 3.5.0) Imports: beeswarm, Biobase, DESeq2, devtools, dplyr, ggdendro, ggplot2, glmnet, graphics, grDevices, grid, gtable, ipflasso, methods, RColorBrewer, reshape2, scales, stats, SummarizedExperiment, survival, tibble Suggests: BiocStyle, knitr, rmarkdown, abind, AnnotationDbi, biomaRt, broom, colorspace, cowplot, dendsort, doParallel, foreach, forestplot, genefilter, ggbeeswarm, ggtern, gridExtra, hexbin, IHW, limma, magrittr, Matrix, maxstat, nat, org.Hs.eg.db, pheatmap, piano, readxl, Rtsne, tidyr, xtable License: LGPL (>= 3) MD5sum: fabac1780c0616a91881b574e61ee31c NeedsCompilation: no Title: "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al. - experimental data and complete analysis Description: The package contains data of the Primary Blood Cancer Encyclopedia (PACE) project together with a complete executable transcript of the statistical analysis and reproduces figures presented in the paper "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al., J. Clin. Invest. (2018) 128(1):427-445. doi:10.1172/JCI93801. biocViews: ExperimentData, ReproducibleResearch, CancerData, LeukemiaCancerData Author: Malgorzata Oles, Sascha Dietrich, Junyan Lu, Britta Velten, Andreas Mock, Vladislav Kim, Wolfgang Huber Maintainer: Malgorzata Oles VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/BloodCancerMultiOmics2017 git_branch: RELEASE_3_18 git_last_commit: afa61c9 git_last_commit_date: 2024-03-25 Date/Publication: 2024-03-26 source.ver: src/contrib/BloodCancerMultiOmics2017_1.22.1.tar.gz vignettes: vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017-dataOverview.html, vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017.html vignetteTitles: BloodCancerMultiOmics2017 - data overview, BloodCancerMultiOmics2017 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017-dataOverview.R, vignettes/BloodCancerMultiOmics2017/inst/doc/BloodCancerMultiOmics2017.R dependencyCount: 164 Package: bodymapRat Version: 1.18.0 Depends: R (>= 3.6.0), SummarizedExperiment, ExperimentHub Imports: utils Suggests: rmarkdown, knitr, BiocStyle, testthat License: CC BY 4.0 MD5sum: fc575d7f33dd1ee73f1860fb076a840b NeedsCompilation: no Title: Experimental dataset from the rat BodyMap project Description: This package contains a SummarizedExperiment from the Yu et al. (2013) paper that performed the rat BodyMap across 11 organs and 4 developmental stages. Raw FASTQ files were downloaded and mapped using STAR. Data is available on ExperimentHub as a data package. biocViews: SequencingData, RNASeqData, ExpressionData, ExperimentData, ExperimentHub Author: Stephanie Hicks [aut, cre] (), Kwame Okrah [aut] Maintainer: Stephanie Hicks VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/bodymapRat git_branch: RELEASE_3_18 git_last_commit: af297a2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/bodymapRat_1.18.0.tar.gz vignettes: vignettes/bodymapRat/inst/doc/bodymapRat.html vignetteTitles: The bodymapRat data user's guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/bodymapRat/inst/doc/bodymapRat.R suggestsMe: qsmooth dependencyCount: 106 Package: breakpointRdata Version: 1.20.0 Depends: R (>= 3.5) Suggests: knitr, BiocStyle, License: file LICENSE MD5sum: e3f74132513d150cb5d5cc62bfd49586 NeedsCompilation: no Title: Strand-seq data for demonstration purposes Description: Strand-seq data to demonstrate functionalities of breakpointR package. biocViews: ExperimentData, Homo_sapiens_Data, SequencingData, DNASeqData, Genome, SingleCellData Author: David Porubsky, Aaron Taudt, Ashley Sanders Maintainer: David Porubsky URL: https://github.com/daewoooo/breakpointRdata VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/breakpointRdata git_branch: RELEASE_3_18 git_last_commit: 5b19cbc git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breakpointRdata_1.20.0.tar.gz vignettes: vignettes/breakpointRdata/inst/doc/breakpointRdata-knitr.pdf vignetteTitles: Example data for breakpointR hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/breakpointRdata/inst/doc/breakpointRdata-knitr.R dependsOnMe: breakpointR dependencyCount: 0 Package: breastCancerMAINZ Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 2b8df5af87b71c6706f909129212b504 NeedsCompilation: no Title: Gene expression dataset published by Schmidt et al. [2008] (MAINZ). Description: Gene expression data from the breast cancer study published by Schmidt et al. in 2008, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerMAINZ git_branch: RELEASE_3_18 git_last_commit: 3be3a6d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerMAINZ_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: DART, genefu, MineICA dependencyCount: 0 Package: breastCancerNKI Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 0a0940593d75deaed0aa6f01954cf61c NeedsCompilation: no Title: Genexpression dataset published by van't Veer et al. [2002] and van de Vijver et al. [2002] (NKI). Description: Genexpression data from a breast cancer study published by van't Veer et al. in 2002 and van de Vijver et al. in 2002, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, CGHData, MicroarrayData, OneChannelData, ChipOnChipData Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerNKI git_branch: RELEASE_3_18 git_last_commit: 5a021ba git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerNKI_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, SigCheck, seventyGeneData dependencyCount: 0 Package: breastCancerTRANSBIG Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 170d89ddd3e554da50a0b2b5d040a96e NeedsCompilation: no Title: Gene expression dataset published by Desmedt et al. [2007] (TRANSBIG). Description: Gene expression data from a breast cancer study published by Desmedt et al. in 2007, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerTRANSBIG git_branch: RELEASE_3_18 git_last_commit: cd416ca git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerTRANSBIG_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, GSgalgoR, MineICA dependencyCount: 0 Package: breastCancerUNT Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 31e1b6d7e34b4acb9207e3e152539166 NeedsCompilation: no Title: Gene expression dataset published by Sotiriou et al. [2007] (UNT). Description: Gene expression data from a breast cancer study published by Sotiriou et al. in 2007, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, TwoChannelData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerUNT git_branch: RELEASE_3_18 git_last_commit: 7793740 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerUNT_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu dependencyCount: 0 Package: breastCancerUPP Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: c5c10989a8a2dbfd20c228522474fac1 NeedsCompilation: no Title: Gene expression dataset published by Miller et al. [2005] (UPP). Description: Gene expression data from a breast cancer study published by Miller et al. in 2005, provided as an eSet. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerUPP git_branch: RELEASE_3_18 git_last_commit: 542412f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerUPP_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: genefu, GSgalgoR, MineICA, safe dependencyCount: 0 Package: breastCancerVDX Version: 1.40.0 Depends: R (>= 2.5.0) Suggests: survcomp, genefu, Biobase License: Artistic-2.0 MD5sum: 446ef46e0bdd1480e12de21ded7b58f0 NeedsCompilation: no Title: Gene expression datasets published by Wang et al. [2005] and Minn et al. [2007] (VDX). Description: Gene expression data from a breast cancer study published by Wang et al. in 2005 and Minn et al. in 2007, provided as an eSet. biocViews: ExperimentData, Genome, Homo_sapiens_Data, CancerData, BreastCancerData, LungCancerData, MicroarrayData, OneChannelData, GEO Author: Markus Schroeder, Benjamin Haibe-Kains, Aedin Culhane, Christos Sotiriou, Gianluca Bontempi, John Quackenbush Maintainer: Markus Schroeder , Benjamin Haibe-Kains URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/breastCancerVDX git_branch: RELEASE_3_18 git_last_commit: cee47a6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/breastCancerVDX_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: BAGS suggestsMe: AIMS, DART, genefu, MineICA dependencyCount: 0 Package: brgedata Version: 1.24.0 Depends: R (>= 3.5.0), Biobase Imports: SummarizedExperiment Suggests: minfi, MultiAssayExperiment, knitr, rmarkdown, rexposome, BiocStyle License: MIT + file LICENSE MD5sum: b8d26c8dfa756e9eb556e4662e3b3302 NeedsCompilation: no Title: Exposures, Gene Expression and Methylation data for ilustration purpouses Description: This package contains several sets of omics data including Gene Expression (ExpressionSet), Methylation (GenomicRatioSet), Proteome and Exposome (ExposomeSet). This data is used in vignettes and exaples at MEAL, MultiDataSet and omicRexposome. biocViews: ExperimentData,Homo_sapiens_Data,MicroarrayData,MethylationArrayData Author: Dolors Pelegri-Siso [aut, cre], Carlos Ruiz-Arenas [aut], Carles Hernandez-Ferrer [aut], Juan R. Gonzalez [aut] Maintainer: Dolors Pelegri-Siso VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/brgedata git_branch: RELEASE_3_18 git_last_commit: e703843 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/brgedata_1.24.0.tar.gz vignettes: vignettes/brgedata/inst/doc/general_description.html vignetteTitles: brgedata -- data R package with three omic data-set and exposome data-set from the same Spanish pupulation hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/brgedata/inst/doc/general_description.R suggestsMe: MEAL, MultiDataSet, omicRexposome dependencyCount: 29 Package: bronchialIL13 Version: 1.40.0 Depends: R(>= 2.10.0), affy (>= 1.23.4) License: GPL-2 MD5sum: be303e29450fb15b03a10f6caaf30159 NeedsCompilation: no Title: time course experiment involving il13 Description: derived from CNMC (pepr.cnmcresearch.org) http://pepr.cnmcresearch.org/browse.do?action=list_prj_exp&projectId=95 Human Bronchial Cell line A549 biocViews: ExperimentData, MicroarrayData Author: Vince Carey Maintainer: Vince Carey URL: http://www.biostat.harvard.edu/~carey git_url: https://git.bioconductor.org/packages/bronchialIL13 git_branch: RELEASE_3_18 git_last_commit: 7499106 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/bronchialIL13_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: bsseqData Version: 0.40.0 Depends: R (>= 3.5.0), bsseq (>= 1.16.0) License: Artistic-2.0 MD5sum: 514171e8133c8d38e6b1ad31eff722a8 NeedsCompilation: no Title: Example whole genome bisulfite data for the bsseq package Description: Example whole genome bisulfite data for the bsseq package biocViews: Genome, CancerData, ColonCancerData, SequencingData Author: Kasper Daniel Hansen Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/bsseqData git_branch: RELEASE_3_18 git_last_commit: d52a6d2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/bsseqData_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: bsseq, methylSig dependencyCount: 80 Package: cancerdata Version: 1.40.0 Depends: R (>= 2.10.1), Biobase License: GPL (>= 2) MD5sum: 7baa088ef320a0222a897987ea8c3e8b NeedsCompilation: no Title: Development and validation of diagnostic tests from high-dimensional molecular data: Datasets Description: Dataset for the R package cancerclass biocViews: CancerData, MicroarrayData Author: Jan Budczies, Daniel Kosztyla Maintainer: Daniel Kosztyla git_url: https://git.bioconductor.org/packages/cancerdata git_branch: RELEASE_3_18 git_last_commit: 83e46f5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/cancerdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cancerclass dependencyCount: 6 Package: CardinalWorkflows Version: 1.34.0 Depends: R (>= 2.10), Cardinal Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 54c51a2ec2f20f96ad9e60c16eeb2ccb NeedsCompilation: no Title: Datasets and workflows for the Cardinal mass spectrometry imaging package Description: Datasets and workflows for Cardinal: DESI and MALDI examples including pig fetus, cardinal painting, and human RCC. biocViews: ExperimentData, MassSpectrometryData, ImagingMassSpectrometryData Author: Kylie A. Bemis Maintainer: Kylie A. Bemis VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CardinalWorkflows git_branch: RELEASE_3_18 git_last_commit: 0a85b41 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CardinalWorkflows_1.34.0.tar.gz vignettes: vignettes/CardinalWorkflows/inst/doc/MSI-classification.html, vignettes/CardinalWorkflows/inst/doc/MSI-segmentation.html, vignettes/CardinalWorkflows/inst/doc/MSI-testing.html vignetteTitles: 2. Classification: Supervised analysis workflow, 1. Segmentation: Unsupervised analysis workflow, 3. Class comparision: Statistical testing workflow hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CardinalWorkflows/inst/doc/MSI-classification.R, vignettes/CardinalWorkflows/inst/doc/MSI-segmentation.R, vignettes/CardinalWorkflows/inst/doc/MSI-testing.R dependencyCount: 73 Package: ccdata Version: 1.28.0 Depends: R (>= 3.3) License: MIT + file LICENSE MD5sum: 60cbd595e53467fd61e1edc4f8ea47e7 NeedsCompilation: no Title: Data for Combination Connectivity Mapping (ccmap) Package Description: This package contains microarray gene expression data generated from the Connectivity Map build 02 and LINCS l1000. The data are used by the ccmap package to find drugs and drug combinations to mimic or reverse a gene expression signature. biocViews: ExperimentData, MicroarrayData, ExpressionData Author: Alex Pickering Maintainer: Alex Pickering git_url: https://git.bioconductor.org/packages/ccdata git_branch: RELEASE_3_18 git_last_commit: 93125e5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ccdata_1.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: ccmap suggestsMe: retriever dependencyCount: 0 Package: CCl4 Version: 1.40.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5), limma License: Artistic-2.0 MD5sum: 3247cf1db347f959d908e88b5e8febb5 NeedsCompilation: no Title: Carbon Tetrachloride (CCl4) treated hepatocytes Description: NChannelSet for rat hepatocytes treated with Carbon Tetrachloride (CCl4) data from LGC company. biocViews: ExperimentData, Genome, Rattus_norvegicus_Data, MicroarrayData Author: Audrey Kauffmann, Wolfgang Huber Maintainer: Audrey Kauffmann git_url: https://git.bioconductor.org/packages/CCl4 git_branch: RELEASE_3_18 git_last_commit: b7d89b9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CCl4_1.40.0.tar.gz vignettes: vignettes/CCl4/inst/doc/CCl4.pdf vignetteTitles: CCl4 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CCl4/inst/doc/CCl4.R suggestsMe: arrayQualityMetrics dependencyCount: 9 Package: ccTutorial Version: 1.40.0 Depends: R (>= 2.10), Ringo(>= 1.9.8), affy(>= 1.23.4), topGO(>= 1.13.1) Imports: Biobase Suggests: biomaRt, Biobase(>= 2.5.5), xtable License: Artistic-2.0 MD5sum: 20af731ec83a03f12ec5d87060f5d168 NeedsCompilation: no Title: Data package for ChIP-chip tutorial Description: This is a data package that accompanies a ChIP-chip tutorial, which has been published in PLoS Computational Biology. The data and source code in this package allow the reader to completely reproduce the steps in the tutorial. biocViews: ExperimentData, Mus_musculus_Data, MicroarrayData, ChipOnChipData Author: Joern Toedling, Wolfgang Huber Maintainer: Joern Toedling PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/ccTutorial git_branch: RELEASE_3_18 git_last_commit: 6feba2b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ccTutorial_1.40.0.tar.gz vignettes: vignettes/ccTutorial/inst/doc/ccTutorial.pdf, vignettes/ccTutorial/inst/doc/ccTutorialSupplement.pdf vignetteTitles: A tutorial on how to analyze ChIP-chip readouts using Bioconductor, Supplement to A tutorial on how to analyze ChIP-chip readouts using Bioconductor hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ccTutorial/inst/doc/ccTutorial.R, vignettes/ccTutorial/inst/doc/ccTutorialSupplement.R dependencyCount: 88 Package: celarefData Version: 1.20.0 Depends: R (>= 3.5.0) Suggests: ExperimentHub, knitr, rmarkdown License: GPL-3 MD5sum: 6864c27f1d574314fe10612b37f6c433 NeedsCompilation: no Title: Processed scRNA data for celaref Vignette - cell labelling by reference Description: This experiment data contains some processed data used in the celaref package vignette. These are publically available datasets, that have been processed by celaref package, and can be manipulated further with it. biocViews: ExperimentData, SingleCellData, ExperimentHub Author: Sarah Williams [aut, cre] Maintainer: Sarah Williams VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/celarefData git_branch: RELEASE_3_18 git_last_commit: e61d116 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/celarefData_1.20.0.tar.gz vignettes: vignettes/celarefData/inst/doc/celarefData.html vignetteTitles: Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/celarefData/inst/doc/celarefData.R dependencyCount: 0 Package: celldex Version: 1.12.0 Depends: SummarizedExperiment Imports: utils, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats Suggests: testthat, knitr, rmarkdown, BiocStyle, DT, ensembldb License: GPL-3 MD5sum: 62419c915beb91f7c228e1a125df68f8 NeedsCompilation: no Title: Reference Index for Cell Types Description: Provides a collection of reference expression datasets with curated cell type labels, for use in procedures like automated annotation of single-cell data or deconvolution of bulk RNA-seq. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData Author: Dvir Aran [aut], Aaron Lun [aut, cre, cph], Daniel Bunis [aut], Jared Andrews [aut], Friederike Dündar [aut] Maintainer: Aaron Lun URL: https://github.com/LTLA/celldex VignetteBuilder: knitr BugReports: https://support.bioconductor.org/ git_url: https://git.bioconductor.org/packages/celldex git_branch: RELEASE_3_18 git_last_commit: 7567a31 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/celldex_1.12.0.tar.gz vignettes: vignettes/celldex/inst/doc/userguide.html vignetteTitles: Cell type references hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/celldex/inst/doc/userguide.R dependsOnMe: OSCA.basic, OSCA.workflows, SingleRBook importsMe: singleCellTK suggestsMe: ontoProc, SingleR, tidySingleCellExperiment dependencyCount: 108 Package: CellMapperData Version: 1.28.0 Depends: ExperimentHub, CellMapper Suggests: BiocStyle License: Artistic-2.0 MD5sum: 5db37729dd49f26b6cba9ff4aff80b1d NeedsCompilation: no Title: Pre-processed data for use with the CellMapper package Description: Experiment data package. Contains microarray data from several large expression compendia that have been pre-processed for use with the CellMapper package. This pre-processed data is recommended for routine searches using the CellMapper package. biocViews: ExperimentData, MicroarrayData, ExpressionData Author: Brad Nelms Maintainer: Brad Nelms git_url: https://git.bioconductor.org/packages/CellMapperData git_branch: RELEASE_3_18 git_last_commit: 7a0e00b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CellMapperData_1.28.0.tar.gz vignettes: vignettes/CellMapperData/inst/doc/CellMapperData.pdf vignetteTitles: CellMapperData Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CellMapperData/inst/doc/CellMapperData.R suggestsMe: CellMapper dependencyCount: 96 Package: cfToolsData Version: 1.0.0 Depends: R (>= 4.3.0) Imports: utils, ExperimentHub Suggests: BiocStyle, knitr, rmarkdown, ExperimentHubData, testthat (>= 3.0.0) License: file LICENSE MD5sum: 00bbf328a45fb8731b3c7262b3521e0b NeedsCompilation: no Title: ExperimentHub data for the cfTools package Description: The cfToolsData package supplies the data for the cfTools package. It contains two pre-trained deep neural network (DNN) models for the cfSort function. Additionally, it includes the shape parameters of beta distribution characterizing methylation markers associated with four tumor types for the CancerDetector function, as well as the parameters characterizing methylation markers specific to 29 primary human tissue types for the cfDeconvolve function. biocViews: ExperimentHub, ExperimentData, ReproducibleResearch, DiseaseModel, CancerData, Tissue Author: Ran Hu [aut, cre] (), Shuo Li [aut] (), Xianghong Jasmine Zhou [aut] (), Wenyuan Li [aut] () Maintainer: Ran Hu URL: https://github.com/jasminezhoulab/cfToolsData VignetteBuilder: knitr BugReports: https://github.com/jasminezhoulab/cfToolsData/issues git_url: https://git.bioconductor.org/packages/cfToolsData git_branch: RELEASE_3_18 git_last_commit: 6294401 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/cfToolsData_1.0.0.tar.gz vignettes: vignettes/cfToolsData/inst/doc/cfToolsData.html vignetteTitles: cfToolsData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/cfToolsData/inst/doc/cfToolsData.R importsMe: cfTools dependencyCount: 95 Package: ChAMPdata Version: 2.34.0 Depends: R (>= 3.5.0), GenomicRanges (>= 1.22.4), BiocGenerics (>= 0.16.1) License: GPL-3 MD5sum: b12bfec01a1cfdd103bc0cb9bd44d4aa NeedsCompilation: no Title: Data Packages for ChAMP package Description: Provides datasets needed for ChAMP including a test dataset and blood controls for CNA analysis. biocViews: ExperimentData Author: Yuan Tian [ctb,aut], Tiffany Morris [cre,aut], Lee Stirling [ctb] and Andrew Teschendorff [ctb] Maintainer: Yuan Tian git_url: https://git.bioconductor.org/packages/ChAMPdata git_branch: RELEASE_3_18 git_last_commit: debac65 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ChAMPdata_2.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChAMP dependencyCount: 16 Package: ChIC.data Version: 1.22.0 Depends: R (>= 3.5), genomeIntervals, randomForest Imports: caret (>= 6.0-78) License: GPL-2 MD5sum: 34b50ea53e6b5c982dc044addc68c33b NeedsCompilation: no Title: ChIC package data Description: This package contains annotation and metagene profile data for the ChIC package. biocViews: ExperimentData, ENCODE Author: Carmen Maria Livi [aut, cre, dtc], Endre Sebestyen [aut] Maintainer: Carmen Maria Livi PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/ChIC.data git_branch: RELEASE_3_18 git_last_commit: 0cc523e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ChIC.data_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 99 Package: chipenrich.data Version: 2.26.0 Depends: R (>= 3.5.0) Imports: AnnotationDbi, BiocGenerics, methods, GenomicRanges, GenomeInfoDb, IRanges, readr, rtracklayer, S4Vectors, utils Suggests: BiocStyle, devtools, knitr, rmarkdown, roxygen2, testthat, GO.db, org.Dm.eg.db, org.Dr.eg.db, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, TxDb.Dmelanogaster.UCSC.dm3.ensGene, TxDb.Dmelanogaster.UCSC.dm6.ensGene, TxDb.Drerio.UCSC.danRer10.refGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm9.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, TxDb.Rnorvegicus.UCSC.rn4.ensGene, TxDb.Rnorvegicus.UCSC.rn5.refGene, TxDb.Rnorvegicus.UCSC.rn6.refGene License: GPL-3 MD5sum: 4918da98125fee82afaeee84930051a8 NeedsCompilation: no Title: Companion package to chipenrich Description: Supporting data for the chipenrich package. Includes pre-defined gene sets, gene locus definitions, and mappability estimates. biocViews: ChIPSeq, Epigenetics, FunctionalGenomics, GeneSetEnrichment, HistoneModification, Regression Author: Ryan P. Welch [aut, cph], Chee Lee [aut], Raymond G. Cavalcante [aut], Kai Wang [cre], Laura J. Scott [ths], Maureen A. Sartor [ths] Maintainer: Kai Wang VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/chipenrich.data git_branch: RELEASE_3_18 git_last_commit: 18414bb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/chipenrich.data_2.26.0.tar.gz vignettes: vignettes/chipenrich.data/inst/doc/chipenrich.data-vignette.html vignetteTitles: chipenrich.data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/chipenrich.data/inst/doc/chipenrich.data-vignette.R importsMe: chipenrich dependencyCount: 89 Package: ChIPexoQualExample Version: 1.26.0 Depends: R (>= 3.3) Suggests: BiocStyle, knitr, rmarkdown License: GPL (>= 2) MD5sum: 5ebb67a1848aa0e69557e795d236e24b NeedsCompilation: no Title: Example data for the ChIPexoQual package, which implements a quality control pipeline for ChIP-exo data Description: Data for the ChIPexoQual package, consisting of (3) chromosome 1 aligned reads from a ChIP-exo experiment for FoxA1 in mouse liver cell lines aligned to the mm9 genome. biocViews: ExperimentData, Genome Author: Rene Welch, Dongjun Chung, Sunduz Keles Maintainer: Rene Welch URL: http://www.github.com/keleslab/ChIPexoQualExample VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ChIPexoQualExample git_branch: RELEASE_3_18 git_last_commit: a18e0d9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ChIPexoQualExample_1.26.0.tar.gz vignettes: vignettes/ChIPexoQualExample/inst/doc/vignette.html vignetteTitles: ChIPexoQualExample hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ChIPexoQualExample/inst/doc/vignette.R suggestsMe: ChIPexoQual dependencyCount: 0 Package: chipseqDBData Version: 1.18.0 Imports: AnnotationHub, ExperimentHub, Rsamtools, S4Vectors Suggests: knitr, BiocStyle, rmarkdown License: CC BY 4.0 MD5sum: a6e50016d2d7c0cb085df2c4254b5f84 NeedsCompilation: no Title: Data for the chipseqDB Workflow Description: Sorted and indexed BAM files for ChIP-seq libraries, for use in the chipseqDB workflow. BAM indices are also included. biocViews: SequencingData, ChIPSeqData, ExperimentHub Author: Aaron Lun [aut, cre] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/chipseqDBData git_branch: RELEASE_3_18 git_last_commit: 97dccfe git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/chipseqDBData_1.18.0.tar.gz vignettes: vignettes/chipseqDBData/inst/doc/chipseqDBData.html vignetteTitles: File manifest and statistics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/chipseqDBData/inst/doc/chipseqDBData.R dependsOnMe: csawBook suggestsMe: chipseqDB dependencyCount: 107 Package: ChIPXpressData Version: 1.40.0 Depends: bigmemory License: GPL (>=2) MD5sum: 029086a630df9533dedea4babd28f0d7 NeedsCompilation: no Title: ChIPXpress Pre-built Databases Description: Contains pre-built mouse (GPL1261) and human (GPL570) database of gene expression profiles to be used for ChIPXpress ranking. biocViews: Homo_sapiens_Data, Mus_musculus_Data, GEO Author: George Wu Maintainer: George Wu git_url: https://git.bioconductor.org/packages/ChIPXpressData git_branch: RELEASE_3_18 git_last_commit: a9e5ee2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ChIPXpressData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ChIPXpress dependencyCount: 7 Package: chromstaRData Version: 1.28.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: 7f4a965a6b5aa71874a5cca39046cabf NeedsCompilation: no Title: ChIP-seq data for Demonstration Purposes Description: ChIP-seq data for demonstration purposes in the chromstaR package. biocViews: Mus_musculus_Data, StemCell, ChIPSeqData Author: Aaron Taudt Maintainer: Aaron Taudt git_url: https://git.bioconductor.org/packages/chromstaRData git_branch: RELEASE_3_18 git_last_commit: 0ec080a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/chromstaRData_1.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: chromstaR suggestsMe: epigraHMM dependencyCount: 0 Package: CLL Version: 1.42.0 Depends: R (>= 2.10), affy (>= 1.23.4), Biobase (>= 2.5.5) License: LGPL MD5sum: 4f71fa48ba2205b80c098275c866ac1f NeedsCompilation: no Title: A Package for CLL Gene Expression Data Description: The CLL package contains the chronic lymphocytic leukemia (CLL) gene expression data. The CLL data had 24 samples that were either classified as progressive or stable in regards to disease progression. The data came from Dr. Sabina Chiaretti at Division of Hematology, Department of Cellular Biotechnologies and Hematology, University La Sapienza, Rome, Italy and Dr. Jerome Ritz at Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData Author: Elizabeth Whalen Maintainer: Robert Gentleman git_url: https://git.bioconductor.org/packages/CLL git_branch: RELEASE_3_18 git_last_commit: afaba62 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CLL_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: phenomis dependencyCount: 12 Package: CLLmethylation Version: 1.22.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment, ExperimentHub Suggests: BiocStyle, ggplot2, knitr, rmarkdown License: LGPL MD5sum: a8c3768dca1df5bb9e911878b68ad4c4 NeedsCompilation: no Title: Methylation data of primary CLL samples in PACE project Description: The package includes DNA methylation data for the primary Chronic Lymphocytic Leukemia samples included in the Primary Blood Cancer Encyclopedia (PACE) project. Raw data from the 450k DNA methylation arrays is stored in the European Genome-Phenome Archive (EGA) under accession number EGAS0000100174. For more information concerning the project please refer to the paper "Drug-perturbation-based stratification of blood cancer" by Dietrich S, Oles M, Lu J et al., J. Clin. Invest. (2018) and R/Bioconductor package BloodCancerMultiOmics2017. biocViews: ExperimentData, DiseaseModel, CancerData, LeukemiaCancerData Author: Malgorzata Oles, Andreas Mock Maintainer: Malgorzata Oles , Andreas Mock VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CLLmethylation git_branch: RELEASE_3_18 git_last_commit: 78ee55d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CLLmethylation_1.22.0.tar.gz vignettes: vignettes/CLLmethylation/inst/doc/CLLmethylation.html vignetteTitles: CLLmethylation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CLLmethylation/inst/doc/CLLmethylation.R dependencyCount: 106 Package: CluMSIDdata Version: 1.18.0 Depends: R (>= 3.6) License: MIT + file LICENSE MD5sum: 315da29d9f052e0abfbad59be9606f34 NeedsCompilation: no Title: Data for the CluMSID package Description: This package contains various LC-MS/MS and GC-MS data that is used in vignettes and examples in the CluMSID package. biocViews: ExperimentData, MassSpectrometryData Author: Tobias Depke [aut, cre] Maintainer: Tobias Depke git_url: https://git.bioconductor.org/packages/CluMSIDdata git_branch: RELEASE_3_18 git_last_commit: d77fe25 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CluMSIDdata_1.18.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: CluMSID dependencyCount: 0 Package: clustifyrdatahub Version: 1.12.0 Depends: R (>= 4.0), ExperimentHub Imports: utils Suggests: clustifyr, Seurat, usethis, rmarkdown, knitr, tidyr, BiocStyle License: MIT + file LICENSE MD5sum: aac4529e5c0d71fdc49bda51c3915f61 NeedsCompilation: no Title: External data sets for clustifyr in ExperimentHub Description: References made from external single-cell mRNA sequencing data sets, stored as average gene expression matrices. For use with clustifyr to assign cell type identities. biocViews: SingleCellData, SequencingData, MicroarrayData, ExperimentHub, RNASeqData, PackageTypeData, ExpressionData Author: Rui Fu [aut] (), Kent Riemondy [aut, cre] (), RNA Bioscience Initiative [fnd], Austin Gillen [ctb] (), Jay Hesselberth [ctb] (), Sidhant Puntambekar [ctb] Maintainer: Kent Riemondy URL: https://rnabioco.github.io/clustifyrdatahub/ VignetteBuilder: knitr BugReports: https://github.com/rnabioco/clustifyrdatahub/issues git_url: https://git.bioconductor.org/packages/clustifyrdatahub git_branch: RELEASE_3_18 git_last_commit: f55a9d9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/clustifyrdatahub_1.12.0.tar.gz vignettes: vignettes/clustifyrdatahub/inst/doc/clustifyrdatahub.html vignetteTitles: clustifyrdatahub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/clustifyrdatahub/inst/doc/clustifyrdatahub.R dependencyCount: 95 Package: cMap2data Version: 1.38.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: c5ecbc59a690426c6def7feb720e1a7d NeedsCompilation: no Title: Connectivity Map (version 2) Data Description: Data package which provides default drug profiles for the DrugVsDisease package as well as associated gene lists and data clusters used by the DrugVsDisease package. biocViews: Homo_sapiens_Data, MicroarrayData, GEO Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/cMap2data git_branch: RELEASE_3_18 git_last_commit: 39393da git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/cMap2data_1.38.0.tar.gz vignettes: vignettes/cMap2data/inst/doc/cMap2data.pdf vignetteTitles: cMap2data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/cMap2data/inst/doc/cMap2data.R dependsOnMe: DrugVsDisease dependencyCount: 0 Package: cnvGSAdata Version: 1.38.0 Depends: R (>= 2.10), cnvGSA License: LGPL MD5sum: 1cc86a2066cae55493d710c475cc7112 NeedsCompilation: no Title: Data used in the vignette of the cnvGSA package Description: This package contains the data used in the vignette of the cnvGSA package. biocViews: ExperimentData, Genome, CopyNumberVariationData Author: Joseph Lugo Maintainer: Joseph Lugo git_url: https://git.bioconductor.org/packages/cnvGSAdata git_branch: RELEASE_3_18 git_last_commit: bdd5076 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/cnvGSAdata_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: cnvGSA dependencyCount: 26 Package: COHCAPanno Version: 1.38.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 78fd4891651a8a62779fe402a13ba6b1 NeedsCompilation: no Title: Annotations for City of Hope CpG Island Analysis Pipeline Description: Provides genomic location, nearby CpG island and nearby gene information for common Illumina methylation array platforms biocViews: Homo_sapiens_Data, MicroarrayData, MethylationArrayData, CpGIslandData, GEO, ArrayExpress Author: Charles Warden Maintainer: Charles Warden git_url: https://git.bioconductor.org/packages/COHCAPanno git_branch: RELEASE_3_18 git_last_commit: 5784d61 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/COHCAPanno_1.38.0.tar.gz vignettes: vignettes/COHCAPanno/inst/doc/COHCAPanno.pdf vignetteTitles: COHCAPanno Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COHCAPanno/inst/doc/COHCAPanno.R dependsOnMe: COHCAP dependencyCount: 0 Package: colonCA Version: 1.44.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: d12f03a7ded676f392dbbb26bbbef174 NeedsCompilation: no Title: exprSet for Alon et al. (1999) colon cancer data Description: exprSet for Alon et al. (1999) colon cancer data biocViews: ExperimentData, Tissue, CancerData, ColonCancerData, MicroarrayData, TissueMicroarrayData Author: Sylvia Merk Maintainer: W Sylvia Merk git_url: https://git.bioconductor.org/packages/colonCA git_branch: RELEASE_3_18 git_last_commit: 70ea91a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/colonCA_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: clustComp, copa dependencyCount: 6 Package: CONFESSdata Version: 1.30.0 Depends: R (>= 3.3) License: GPL-2 MD5sum: 07df3f8f783b3e734c4032b3f6ed61bd NeedsCompilation: no Title: Example dataset for CONFESS package Description: Example text-converted C01 image files for use in the CONFESS Bioconductor package. biocViews: HighThroughputImagingData,CellCulture,Homo_sapiens_Data,ExpressionData Author: Diana LOW and Efthimios MOTAKIS Maintainer: Diana LOW git_url: https://git.bioconductor.org/packages/CONFESSdata git_branch: RELEASE_3_18 git_last_commit: 52a202d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CONFESSdata_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CONFESS dependencyCount: 0 Package: ConnectivityMap Version: 1.38.0 Depends: R (>= 2.15.1) Suggests: RUnit, BiocGenerics License: GPL-3 MD5sum: bac29780256afebfd49b90f268114eaf NeedsCompilation: no Title: Functional connections between drugs, genes and diseases as revealed by common gene-expression changes Description: The Broad Institute's Connectivity Map (cmap02) is a "large reference catalogue of gene-expression data from cultured human cells perturbed with many chemicals and genetic reagents", containing more than 7000 gene expression profiles and 1300 small molecules. biocViews: ExperimentData, CancerData, MicroarrayData Author: Paul Shannon Maintainer: Paul Shannon git_url: https://git.bioconductor.org/packages/ConnectivityMap git_branch: RELEASE_3_18 git_last_commit: 4b7ff6f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ConnectivityMap_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: COPDSexualDimorphism.data Version: 1.38.0 License: LGPL-2.1 MD5sum: d7cf1990679c90cbaf5250c4761effec NeedsCompilation: no Title: Data to support sexually dimorphic and COPD differential analysis for gene expression and methylation. Description: Datasets to support COPDSexaulDimorphism Package. biocViews: ExperimentData, Tissue, COPDData Author: J Fah Sathirapongsasuti Maintainer: J Fah Sathirapongsasuti git_url: https://git.bioconductor.org/packages/COPDSexualDimorphism.data git_branch: RELEASE_3_18 git_last_commit: 7ca6bba git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/COPDSexualDimorphism.data_1.38.0.tar.gz vignettes: vignettes/COPDSexualDimorphism.data/inst/doc/lgrc_data.pdf vignetteTitles: SDCD Genes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COPDSexualDimorphism.data/inst/doc/lgrc_data.R dependencyCount: 0 Package: CopyhelpeR Version: 1.34.0 Depends: R (>= 3.5.0) Suggests: BiocStyle License: GPL-2 MD5sum: bb8d3e8cba0c27898e43cbdcfcac6c62 NeedsCompilation: no Title: Helper files for CopywriteR Description: This package contains the helper files that are required to run the Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content and mappability files for the reference genomes hg18, hg19, hg38, mm9 and mm10. In addition, it contains a blacklist filter to remove regions that display CNV. Files are stored as GRanges objects from the GenomicRanges Bioconductor package. biocViews: Homo_sapiens, GenomicSequence Author: Thomas Kuilman Maintainer: Oscar Krijgsman git_url: https://git.bioconductor.org/packages/CopyhelpeR git_branch: RELEASE_3_18 git_last_commit: 9857e4b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CopyhelpeR_1.34.0.tar.gz vignettes: vignettes/CopyhelpeR/inst/doc/CopyhelpeR.pdf vignetteTitles: CopyhelpeR hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CopyhelpeR/inst/doc/CopyhelpeR.R dependencyCount: 0 Package: CopyNeutralIMA Version: 1.20.0 Depends: R (>= 3.5.0) Imports: ExperimentHub,Rdpack (>= 0.8) Suggests: BiocStyle,knitr,rmarkdown,minfi,conumee,minfiData License: Artistic-2.0 MD5sum: 5f1921b0aff4c3f39b662cc1ae70bf28 NeedsCompilation: no Title: Copy Neutral Illumina Methylation Arrays Description: Provides a set of genomic copy neutral samples hybridized using Illumina Methylation arrays (450k and EPIC). biocViews: ExperimentData,Homo_sapiens_Data,MicroarrayData,TwoChannelData,MethylationArrayData,GEO Author: Xavier Pastor Hostench [aut, cre], Moritz Przybilla [aut] Maintainer: Xavier Pastor Hostench VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/CopyNeutralIMA git_branch: RELEASE_3_18 git_last_commit: 3b2f5c8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CopyNeutralIMA_1.20.0.tar.gz vignettes: vignettes/CopyNeutralIMA/inst/doc/CopyNeutralIMA.html vignetteTitles: CopyNeutralIMA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CopyNeutralIMA/inst/doc/CopyNeutralIMA.R dependencyCount: 97 Package: CoSIAdata Version: 1.2.0 Depends: R (>= 4.3.0), ExperimentHub (>= 2.6.0), Suggests: BiocStyle (>= 2.26.0), utils (>= 4.3.0), AnnotationHub (>= 3.7.3), knitr (>= 1.42) License: MIT + file LICENSE MD5sum: f0ec9d5ca01647ec3d52e264c0828273 NeedsCompilation: no Title: VST normalized RNA-Sequencing data with annotations for multiple species samples from Bgee Description: Variance Stabilized Transformation of Read Counts derived from Bgee RNA-Seq Expression Data. Expression Data includes annotations and is across 6 species (Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio, Drosophila melanogaster, and Caenorhabditis elegans) and across more than 132 tissues. The data is represented as a RData files and is available in ExperimentHub. biocViews: ExperimentHub, RNASeqData, ExperimentData, PackageTypeData, OrganismData, Tissue,Caenorhabditis_elegans_Data, Danio_rerio_Data, Drosophila_melanogaster_Data, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data, SequencingData, ExpressionData Author: Anisha Haldar [aut] (), Vishal H. Oza [aut] (), Amanda D. Clark [cre, aut] (), Nathaniel S. DeVoss [aut] (), Brittany N. Lasseigne [aut] () Maintainer: Amanda D. Clark VignetteBuilder: knitr BugReports: https://github.com/lasseignelab/CoSIAdata/issues git_url: https://git.bioconductor.org/packages/CoSIAdata git_branch: RELEASE_3_18 git_last_commit: e4b13a5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CoSIAdata_1.2.0.tar.gz vignettes: vignettes/CoSIAdata/inst/doc/CoSIAdata_vignette.html vignetteTitles: CoSIAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/CoSIAdata/inst/doc/CoSIAdata_vignette.R dependencyCount: 95 Package: COSMIC.67 Version: 1.38.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, SummarizedExperiment, VariantAnnotation Suggests: testthat, BiocStyle, knitr License: GPL-3 MD5sum: 392f31ffd7e95a7558d248d36dcc37fe NeedsCompilation: no Title: COSMIC.67 Description: COSMIC: Catalogue Of Somatic Mutations In Cancer, version 67 (2013-10-24) biocViews: ExperimentData, Genome, CancerData Author: Julian Gehring Maintainer: Julian Gehring VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/COSMIC.67 git_branch: RELEASE_3_18 git_last_commit: e08b885 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/COSMIC.67_1.38.0.tar.gz vignettes: vignettes/COSMIC.67/inst/doc/COSMIC.67.pdf vignetteTitles: COSMIC.67 - PDF hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/COSMIC.67/inst/doc/COSMIC.67.R importsMe: appreci8R dependencyCount: 101 Package: CRCL18 Version: 1.22.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: 176bd921f08e717ec49e4e3eb4a5e5e5 NeedsCompilation: no Title: CRC cell line dataset Description: colorectal cancer mRNA and miRNA on 18 cell lines biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/CRCL18 git_branch: RELEASE_3_18 git_last_commit: d4dcac2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/CRCL18_1.22.0.tar.gz vignettes: vignettes/CRCL18/inst/doc/CRCL18Vignette.pdf vignetteTitles: CRCL18 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/CRCL18/inst/doc/CRCL18Vignette.R dependencyCount: 6 Package: crisprScoreData Version: 1.6.0 Depends: ExperimentHub Imports: AnnotationHub, utils Suggests: BiocStyle, knitr, rmarkdown, testthat License: MIT + file LICENSE MD5sum: 1f4d86404f045ec36cf7d1b1c64373fe NeedsCompilation: no Title: Pre-trained models for the crisprScore package Description: Provides an interface to access pre-trained models for on-target and off-target gRNA activity prediction algorithms implemented in the crisprScore package. Pre-trained model data are stored in the ExperimentHub database. Users should consider using the crisprScore package directly to use and load the pre-trained models. biocViews: ExperimentHub, Homo_sapiens_Data Author: Jean-Philippe Fortin [aut, cre, cph] Maintainer: Jean-Philippe Fortin URL: https://github.com/crisprVerse/crisprScoreData/issues VignetteBuilder: knitr BugReports: https://github.com/crisprVerse/crisprScoreData git_url: https://git.bioconductor.org/packages/crisprScoreData git_branch: RELEASE_3_18 git_last_commit: 2c66064 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/crisprScoreData_1.6.0.tar.gz vignettes: vignettes/crisprScoreData/inst/doc/crisprScoreData.html vignetteTitles: crisprScoreData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/crisprScoreData/inst/doc/crisprScoreData.R dependsOnMe: crisprScore importsMe: crisprVerse dependencyCount: 95 Package: curatedAdipoArray Version: 1.14.0 Depends: R (>= 4.0) Suggests: knitr, rmarkdown, ExperimentHub, SummarizedExperiment License: GPL-3 + file LICENSE MD5sum: 109be77c099e9d7b6da437577f619a54 NeedsCompilation: no Title: A Curated Microarrays Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Under Genetic and Pharmacological Perturbations Description: A curated dataset of Microarrays samples. The samples are MDI- induced pre-adipocytes (3T3-L1) at different time points/stage of differentiation under different types of genetic (knockdown/overexpression) and pharmacological (drug treatment) perturbations. The package documents the data collection and processing. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, ExperimentHub, GEO, MicroarrayData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoArray VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoArray/issues git_url: https://git.bioconductor.org/packages/curatedAdipoArray git_branch: RELEASE_3_18 git_last_commit: 78aa4db git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedAdipoArray_1.14.0.tar.gz vignettes: vignettes/curatedAdipoArray/inst/doc/curatedAdipoArray.html vignetteTitles: Using curatedAdipoArray hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/curatedAdipoArray/inst/doc/curatedAdipoArray.R dependencyCount: 0 Package: curatedAdipoChIP Version: 1.18.0 Depends: R (>= 3.6), SummarizedExperiment, ExperimentHub Suggests: knitr, rmarkdown, GenomicFeatures, ChIPseeker, AnnotationDbi, S4Vectors, DESeq2, fastqcr, devtools, testthat, readr, dplyr, tidyr, ggplot2 License: GPL-3 MD5sum: 0074cb63250ac197dad12e4138d47463 NeedsCompilation: no Title: A Curated ChIP-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Description: A curated dataset of publicly available ChIP-sequencing of transcription factors, chromatin remodelers and histone modifications in the 3T3-L1 pre-adipocyte cell line. The package document the data collection, pre-processing and processing of the data. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, ExperimentHub, GEO, ChIPSeqData, SequencingData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoChIP VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoChIP/issues git_url: https://git.bioconductor.org/packages/curatedAdipoChIP git_branch: RELEASE_3_18 git_last_commit: c130c9b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedAdipoChIP_1.18.0.tar.gz vignettes: vignettes/curatedAdipoChIP/inst/doc/curatedAdipoChIP.html vignetteTitles: Using curatedAdipoChIP hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedAdipoChIP/inst/doc/curatedAdipoChIP.R dependencyCount: 106 Package: curatedAdipoRNA Version: 1.18.0 Depends: R (>= 3.6), SummarizedExperiment Suggests: knitr, rmarkdown, DESeq2, fastqcr, devtools, testthat, readr, dplyr, tidyr, ggplot2, S4Vectors License: GPL-3 MD5sum: 61c2e750fc2cf09a6bde6c0bf46e6b8b NeedsCompilation: no Title: A Curated RNA-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1) Description: A curated dataset of RNA-Seq samples. The samples are MDI-induced pre-phagocytes (3T3-L1) at different time points/stage of differentiation. The package document the data collection, pre-processing and processing. In addition to the documentation, the package contains the scripts that was used to generated the data. biocViews: ExperimentData, GEO, RNASeqData, SequencingData Author: Mahmoud Ahmed [aut, cre] () Maintainer: Mahmoud Ahmed URL: https://github.com/MahShaaban/curatedAdipoRNA VignetteBuilder: knitr BugReports: https://github.com/MahShaaban/curatedAdipoRNA/issues git_url: https://git.bioconductor.org/packages/curatedAdipoRNA git_branch: RELEASE_3_18 git_last_commit: a9918d6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedAdipoRNA_1.18.0.tar.gz vignettes: vignettes/curatedAdipoRNA/inst/doc/curatedadiporna_vignette.html vignetteTitles: Using curatedAdipoRNA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedAdipoRNA/inst/doc/curatedadiporna_vignette.R dependencyCount: 29 Package: curatedBladderData Version: 1.38.0 Depends: R (>= 2.10.0), affy Suggests: BiocStyle, survival, xtable, sva, genefilter, logging License: Artistic-2.0 MD5sum: bd8965c4ad49840b4985f90f3dc5a441 NeedsCompilation: no Title: Bladder Cancer Gene Expression Analysis Description: The curatedBladderData package provides relevant functions and data for gene expression analysis in patients with bladder cancer. biocViews: ExperimentData, CancerData, OvarianCancerData, MicroarrayData, ExpressionData Author: Markus Riester Maintainer: Markus Riester URL: https://github.com/lima1/curatedBladderData git_url: https://git.bioconductor.org/packages/curatedBladderData git_branch: RELEASE_3_18 git_last_commit: 4d4c2f7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedBladderData_1.38.0.tar.gz vignettes: vignettes/curatedBladderData/inst/doc/curatedBladderData_vignette.pdf vignetteTitles: curatedBladderData_vignette.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedBladderData/inst/doc/curatedBladderData_vignette.R suggestsMe: covEB dependencyCount: 12 Package: curatedBreastData Version: 2.30.0 Depends: R (>= 3.0.0), XML, ggplot2, impute, Biobase, BiocStyle Imports: methods, stats License: GPL (>= 2) MD5sum: 41383ff9e1295448ec0e8004789ab9d5 NeedsCompilation: no Title: Curated breast cancer gene expression data with survival and treatment information Description: Curated human breast cancer tissue S4 ExpresionSet datasets from over 16 clinical trials comprising over 2,000 patients. All datasets contain at least one type of outcomes variable and treatment information (minimum level: whether they had chemotherapy and whether they had hormonal therapy). Includes code to post-process these datasets. biocViews: ExperimentData, ExpressionData, CancerData, Tissue, BreastCancerData, qPCRData, MicroarrayData, TissueMicroarrayData, GEO Author: Katie Planey Maintainer: Katie Planey git_url: https://git.bioconductor.org/packages/curatedBreastData git_branch: RELEASE_3_18 git_last_commit: 252ba23 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedBreastData_2.30.0.tar.gz vignettes: vignettes/curatedBreastData/inst/doc/curatedBreastData-manual.pdf vignetteTitles: Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedBreastData/inst/doc/curatedBreastData-manual.R dependencyCount: 64 Package: curatedCRCData Version: 2.34.0 Depends: R (>= 2.10.0), nlme Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 MD5sum: c36bf5dbc0970503f4137b55e8c65534 NeedsCompilation: no Title: Colorectal Cancer Gene Expression Analysis Description: The curatedCRC package provides relevant functions and data for gene expression analysis in patients with colorectal cancer. biocViews: Colorectal, Cancer, TCGA, ExperimentData, RNAExpressionData Author: Princy Parsana, Markus Riester, Curtis Huttenhower, Levi Waldron Maintainer: Princy Parsana URL: https://bitbucket.org/biobakery/curatedcrcdata git_url: https://git.bioconductor.org/packages/curatedCRCData git_branch: RELEASE_3_18 git_last_commit: 3df2048 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedCRCData_2.34.0.tar.gz vignettes: vignettes/curatedCRCData/inst/doc/curatedCRCData_vignette.pdf vignetteTitles: curatedCRCData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedCRCData/inst/doc/curatedCRCData_vignette.R dependencyCount: 9 Package: curatedMetagenomicData Version: 3.10.0 Depends: R (>= 4.1.0), SummarizedExperiment, TreeSummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, mia, purrr, rlang, stringr, tibble, tidyr, tidyselect Suggests: BiocStyle, DT, knitr, readr, rmarkdown, scater, testthat, utils, uwot, vegan License: Artistic-2.0 MD5sum: 39c08149fe4261d4961ff1235825ae97 NeedsCompilation: no Title: Curated Metagenomic Data of the Human Microbiome Description: The curatedMetagenomicData package provides standardized, curated human microbiome data for novel analyses. It includes gene families, marker abundance, marker presence, pathway abundance, pathway coverage, and relative abundance for samples collected from different body sites. The bacterial, fungal, and archaeal taxonomic abundances for each sample were calculated with MetaPhlAn3, and metabolic functional potential was calculated with HUMAnN3. The manually curated sample metadata and standardized metagenomic data are available as (Tree)SummarizedExperiment objects. biocViews: ExperimentHub, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch Author: Lucas schiffer [aut, cre] (), Levi Waldron [aut], Edoardo Pasolli [ctb], Jennifer Wokaty [ctb], Sean Davis [ctb], Audrey Renson [ctb], Chloe Mirzayi [ctb], Paolo Manghi [ctb], Samuel Gamboa-Tuz [ctb], Marcel Ramos [ctb], Valerie Obenchain [ctb], Kelly Eckenrode [ctb], Nicola Segata [ctb] Maintainer: Lucas schiffer URL: https://github.com/waldronlab/curatedMetagenomicData VignetteBuilder: knitr BugReports: https://github.com/waldronlab/curatedMetagenomicData/issues git_url: https://git.bioconductor.org/packages/curatedMetagenomicData git_branch: RELEASE_3_18 git_last_commit: e64df94 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedMetagenomicData_3.10.0.tar.gz vignettes: vignettes/curatedMetagenomicData/inst/doc/curatedMetagenomicData.html vignetteTitles: curatedMetagenomicData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedMetagenomicData/inst/doc/curatedMetagenomicData.R suggestsMe: lefser, MMUPHin dependencyCount: 180 Package: curatedOvarianData Version: 1.40.1 Depends: R (>= 3.0.0), Biobase Imports: BiocGenerics Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle License: Artistic-2.0 MD5sum: 7651ff7abb11057b3ceec8f869e259d6 NeedsCompilation: no Title: Clinically Annotated Data for the Ovarian Cancer Transcriptome Description: The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer. biocViews: ExperimentData, RNASeqData, CancerData, OvarianCancerData, MicroarrayData Author: Benjamin F. Ganzfried, Markus Riester, Steve Skates, Victoria Wang, Thomas Risch, Benjamin Haibe-Kains, Svitlana Tyekucheva, Jie Ding, Ina Jazic, Michael Birrer, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron Maintainer: Levi Waldron URL: http://bcb.dfci.harvard.edu/ovariancancer git_url: https://git.bioconductor.org/packages/curatedOvarianData git_branch: RELEASE_3_18 git_last_commit: c16d804 git_last_commit_date: 2023-10-31 Date/Publication: 2023-11-02 source.ver: src/contrib/curatedOvarianData_1.40.1.tar.gz vignettes: vignettes/curatedOvarianData/inst/doc/curatedOvarianData_vignette.pdf vignetteTitles: curatedOvarianData_vignette.pdf hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedOvarianData/inst/doc/curatedOvarianData_vignette.R suggestsMe: doppelgangR, TOP dependencyCount: 6 Package: curatedTBData Version: 1.8.0 Depends: R (>= 4.1.0) Imports: AnnotationHub, ExperimentHub, MultiAssayExperiment, rlang, stats Suggests: BiocStyle, DT, dplyr, HGNChelper, knitr, methods, rmarkdown, SummarizedExperiment, sva, testthat License: MIT + file LICENSE MD5sum: 190a770c4f5df45cf722b7ee287a2384 NeedsCompilation: no Title: Curation of existing 49 tuberculosis transcriptomic studies Description: The curatedTBData is an R package that provides standardized, curated tuberculosis(TB) transcriptomic studies. The initial release of the package contains 49 studies. The curatedTBData package allows users to access tuberculosis trancriptomic efficiently and to make efficient comparison for different TB gene signatures across multiple datasets. biocViews: ExperimentHub, GEO, Homo_sapiens_Data Author: Xutao Wang [aut, cre], W. Evan Johnson [aut], Prasad Patil [aut] Maintainer: Xutao Wang URL: https://github.com/compbiomed/curatedTBData VignetteBuilder: knitr BugReports: https://github.com/compbiomed/curatedTBData/issues git_url: https://git.bioconductor.org/packages/curatedTBData git_branch: RELEASE_3_18 git_last_commit: 7433b35 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/curatedTBData_1.8.0.tar.gz vignettes: vignettes/curatedTBData/inst/doc/curatedTBData.html vignetteTitles: curatedTBData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/curatedTBData/inst/doc/curatedTBData.R dependencyCount: 108 Package: curatedTCGAData Version: 1.24.1 Depends: R (>= 4.2.0), MultiAssayExperiment Imports: AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils Suggests: BiocStyle, knitr, RaggedExperiment, readr, rmarkdown, TCGAutils, testthat License: Artistic-2.0 MD5sum: 69e06f23ff43332c06bad9bea52b30c9 NeedsCompilation: no Title: Curated Data From The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects Description: This package provides publicly available data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment objects. MultiAssayExperiment integrates multiple assays (e.g., RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. It also links assay barcodes with patient identifiers, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire multi-'omics experiment. biocViews: Homo_sapiens_Data, ReproducibleResearch, CancerData, ExperimentHub Author: Marcel Ramos [aut, cre] (), Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb] Maintainer: Marcel Ramos VignetteBuilder: knitr BugReports: https://github.com/waldronlab/curatedTCGAData/issues git_url: https://git.bioconductor.org/packages/curatedTCGAData git_branch: RELEASE_3_18 git_last_commit: 535c81a git_last_commit_date: 2024-02-02 Date/Publication: 2024-02-06 source.ver: src/contrib/curatedTCGAData_1.24.1.tar.gz vignettes: vignettes/curatedTCGAData/inst/doc/curatedTCGAData.html vignetteTitles: curatedTCGAData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/curatedTCGAData/inst/doc/curatedTCGAData.R importsMe: AMARETTO, BiocOncoTK suggestsMe: CNVRanger, dce, glmSparseNet, IntOMICS, netDx, TCGAutils dependencyCount: 112 Package: DAPARdata Version: 1.32.1 Depends: R (>= 4.2.0), MSnbase Imports: utils Suggests: knitr, DAPAR, BiocStyle License: GPL-2 MD5sum: e8639f86e3531691502e4221bfb02d84 NeedsCompilation: no Title: Data accompanying the DAPAR and Prostar packages Description: Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32. biocViews: ExperimentData, MassSpectrometryData, Proteome Author: Florence Combes [aut], Samuel Wieczorek [cre, aut] Maintainer: Samuel Wieczorek URL: http://www.prostar-proteomics.org/ VignetteBuilder: knitr BugReports: https://github.com/prostarproteomics/DAPARdata/issues git_url: https://git.bioconductor.org/packages/DAPARdata git_branch: RELEASE_3_18 git_last_commit: 211e196 git_last_commit_date: 2024-01-09 Date/Publication: 2024-01-11 source.ver: src/contrib/DAPARdata_1.32.1.tar.gz vignettes: vignettes/DAPARdata/inst/doc/dapardata.html vignetteTitles: DAPARdata User Manual hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DAPARdata/inst/doc/dapardata.R importsMe: DAPAR, Prostar dependencyCount: 77 Package: davidTiling Version: 1.42.0 Depends: R (>= 2.10), Biobase (>= 2.5.5), tilingArray, GO.db License: LGPL MD5sum: dace46d6f640014aff544e0faf355b5e NeedsCompilation: no Title: Data and analysis scripts for David, Huber et al. yeast tiling array paper Description: This package contains the data for the paper by L. David et al. in PNAS 2006 (PMID 16569694): 8 CEL files of Affymetrix genechips, an ExpressionSet object with the raw feature data, a probe annotation data structure for the chip and the yeast genome annotation (GFF file) that was used. In addition, some custom-written analysis functions are provided, as well as R scripts in the scripts directory. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, MicroarrayData, ReproducibleResearch Author: Wolfgang Huber , Joern Toedling Maintainer: Wolfgang Huber URL: http://www.ebi.ac.uk/huber git_url: https://git.bioconductor.org/packages/davidTiling git_branch: RELEASE_3_18 git_last_commit: 5d00106 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/davidTiling_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 89 Package: depmap Version: 1.16.0 Depends: R (>= 3.6), methods, dplyr Imports: utils, ExperimentHub, AnnotationHub Suggests: knitr, rmarkdown, BiocStyle, viridis, gridExtra, ggplot2, readr, tibble, stringr, tidyr License: Artistic-2.0 MD5sum: 7f00d05c7f899e622293767baa04e120 NeedsCompilation: no Title: Cancer Dependency Map Data Package Description: The depmap package is a data package that accesses datsets from the Broad Institute DepMap cancer dependency study using ExperimentHub. Datasets from the most current release are available, including RNAI and CRISPR-Cas9 gene knockout screens quantifying the genetic dependency for select cancer cell lines. Additional datasets are also available pertaining to the log copy number of genes for select cell lines, protein expression of cell lines as measured by reverse phase protein lysate microarray (RPPA), 'Transcript Per Million' (TPM) data, as well as supplementary datasets which contain metadata and mutation calls for the other datasets found in the current release. The 19Q3 release adds the drug_dependency dataset, that contains cancer cell line dependency data with respect to drug and drug-candidate compounds. The 20Q2 release adds the proteomic dataset that contains quantitative profiling of proteins via mass spectrometry. This package will be updated on a quarterly basis to incorporate the latest Broad Institute DepMap Public cancer dependency datasets. All data made available in this package was generated by the Broad Institute DepMap for research purposes and not intended for clinical use. This data is distributed under the Creative Commons license (Attribution 4.0 International (CC BY 4.0)). biocViews: ExperimentHub, ExperimentData, ReproducibleResearch, RepositoryData, AssayDomainData, CopyNumberVariationData, DiseaseModel, CancerData, BreastCancerData, ColonCancerData, KidneyCancerData, LeukemiaCancerData, LungCancerData, OvarianCancerData, ProstateCancerData, OrganismData, Homo_sapiens_Data, PackageTypeData, SpecimenSource, CellCulture, Genome, Proteome, StemCell, Tissue Author: Laurent Gatto [cre, aut], Theo Killian [aut] Maintainer: Laurent Gatto VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/depmap git_branch: RELEASE_3_18 git_last_commit: e8988f9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/depmap_1.16.0.tar.gz vignettes: vignettes/depmap/inst/doc/depmap.html, vignettes/depmap/inst/doc/using_depmap.html vignetteTitles: depmap, depmap use cases hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/depmap/inst/doc/depmap.R, vignettes/depmap/inst/doc/using_depmap.R importsMe: CBNplot, MAGeCKFlute suggestsMe: mastR, BioPlex dependencyCount: 95 Package: derfinderData Version: 2.20.0 Depends: R (>= 3.5.0) Suggests: sessioninfo, knitr (>= 1.6), RefManageR, rmarkdown (>= 0.3.3), BiocStyle License: Artistic-2.0 MD5sum: 032efff51d29eae3fc1a5e032c0f3c40 NeedsCompilation: no Title: Processed BigWigs from BrainSpan for examples Description: Processed 22 samples from BrainSpan keeping only the information for chromosome 21. Data is stored in the BigWig format and is used for examples in other packages. biocViews: ExperimentData, Homo_sapiens_Data, RNASeqData Author: Leonardo Collado-Torres [aut, cre] (), Andrew Jaffe [aut] (), Jeffrey Leek [aut, ths] () Maintainer: Leonardo Collado-Torres URL: https://github.com/leekgroup/derfinderData VignetteBuilder: knitr BugReports: https://github.com/leekgroup/derfinderData/issues git_url: https://git.bioconductor.org/packages/derfinderData git_branch: RELEASE_3_18 git_last_commit: 4fdeff7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/derfinderData_2.20.0.tar.gz vignettes: vignettes/derfinderData/inst/doc/derfinderData.html vignetteTitles: Introduction to derfinderData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/derfinderData/inst/doc/derfinderData.R suggestsMe: derfinder, derfinderPlot dependencyCount: 0 Package: DeSousa2013 Version: 1.38.0 Depends: R (>= 2.15), Imports: affy, frma, frmaTools, hgu133plus2.db, hgu133plus2frmavecs, sva, rgl, ConsensusClusterPlus, cluster, siggenes, ROCR, pamr, survival, gplots, AnnotationDbi, Biobase License: Artistic-2.0 MD5sum: 41a3ca5cba40653eb4be04203aaf60ac NeedsCompilation: no Title: Poor prognosis colon cancer is defined by a molecularly distinct subtype and precursor lesion Description: This package reproduces the main pipeline to analyze the AMC-AJCCII-90 microarray data set in De Sousa et al. accepted by Nature Medicine in 2013. biocViews: CancerData, ColonCancerData, MicroarrayData Author: Xin Wang Maintainer: Xin Wang git_url: https://git.bioconductor.org/packages/DeSousa2013 git_branch: RELEASE_3_18 git_last_commit: ee32611 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DeSousa2013_1.38.0.tar.gz vignettes: vignettes/DeSousa2013/inst/doc/DeSousa2013-Vignette.pdf vignetteTitles: Main vignette:Poor prognosis colon cancer is defined by a molecular distinct subtype and develops from serrated precursor lesions hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DeSousa2013/inst/doc/DeSousa2013-Vignette.R dependencyCount: 127 Package: DExMAdata Version: 1.10.0 Depends: R (>= 4.1) Imports: Biobase Suggests: BiocStyle License: GPL-2 MD5sum: 3d2a9cc7d0044ffc23e572f4c5cc4426 NeedsCompilation: no Title: Data package for DExMA package Description: Data objects needed to allSameID() function of DExMA package. There are also some objects that are necessary to be able to apply the examples of the DExMA package, which illustrate package functionality. biocViews: ExperimentData, OrganismData, MicroarrayData Author: Juan Antonio Villatoro-García [aut, cre], Pedro Carmona-Sáez [aut] Maintainer: Juan Antonio Villatoro-García git_url: https://git.bioconductor.org/packages/DExMAdata git_branch: RELEASE_3_18 git_last_commit: 3d2144d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DExMAdata_1.10.0.tar.gz vignettes: vignettes/DExMAdata/inst/doc/DExMAdata.pdf vignetteTitles: Data for DExMA package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DExMAdata/inst/doc/DExMAdata.R dependsOnMe: DExMA dependencyCount: 6 Package: diffloopdata Version: 1.30.0 Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: 748ee71ae44999ca2c568619ad5a47eb NeedsCompilation: no Title: Example ChIA-PET Datasets for the diffloop Package Description: ChIA-PET example datasets and additional data for use with the diffloop package. biocViews: ExperimentData, SequencingData Author: Caleb Lareau [aut], Martin Aryee [aut, cre] Maintainer: Caleb Lareau VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/diffloopdata git_branch: RELEASE_3_18 git_last_commit: b7371d1 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/diffloopdata_1.30.0.tar.gz vignettes: vignettes/diffloopdata/inst/doc/diffloopdata.html vignetteTitles: diffloopdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE dependencyCount: 0 Package: diggitdata Version: 1.34.0 Depends: R(>= 2.14.0), Biobase, methods Imports: viper License: GPL (>=2) MD5sum: 48dc6a1a35dae2169279a2766e3b56de NeedsCompilation: no Title: Example data for the diggit package Description: This package provides expression profile and CNV data for glioblastoma from TCGA, and transcriptional and post-translational regulatory networks assembled with the ARACNe and MINDy algorithms, respectively. biocViews: ExperimentData, Cancer Author: Mariano Javier Alvarez Maintainer: Mariano Javier Alvarez git_url: https://git.bioconductor.org/packages/diggitdata git_branch: RELEASE_3_18 git_last_commit: 1fabf25 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/diggitdata_1.34.0.tar.gz vignettes: vignettes/diggitdata/inst/doc/diggitdata.pdf vignetteTitles: Using bcellViper hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/diggitdata/inst/doc/diggitdata.R suggestsMe: diggit dependencyCount: 90 Package: DLBCL Version: 1.42.2 Depends: R(>= 2.11.0), Biobase, graph License: GPL (>=2) MD5sum: 9b03687d068351440a46898ad6814ed9 NeedsCompilation: no Title: Diffuse large B-cell lymphoma expression data Description: This package provides additional expression data on diffuse large B-cell lymphomas for the BioNet package. biocViews: ExperimentData, CancerData, MicroarrayData, ChipOnChipData Author: Marcus Dittrich and Daniela Beisser Maintainer: Marcus Dittrich URL: http://bionet.bioapps.biozentrum.uni-wuerzburg.de/ git_url: https://git.bioconductor.org/packages/DLBCL git_branch: RELEASE_3_18 git_last_commit: d6f5ff0 git_last_commit_date: 2024-01-18 Date/Publication: 2024-01-23 source.ver: src/contrib/DLBCL_1.42.2.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: BioNet, SANTA, mwcsr dependencyCount: 8 Package: DmelSGI Version: 1.34.0 Depends: R (>= 3.0) Imports: grid, TSP, limma, rhdf5, knitr, abind, gplots, igraph, grDevices, graphics, stats Suggests: BiocStyle, EBImage, RColorBrewer, RNAinteractMAPK, hwriter, xtable, beeswarm License: Artistic-2.0 MD5sum: c13b3a8f881ca54d5e8ddf52ebe8b86a NeedsCompilation: no Title: Experimental data and documented source code for the paper "A Map of Directional Genetic Interactions in a Metazoan Cell" Description: The package contains the experimental data and documented source code of the manuscript "Fischer et al., A Map of Directional Genetic Interactions in a Metazoan Cell, eLife, 2015, in Press.". The vignette code generates all figures in the paper. biocViews: MicrotitrePlateAssayData, CellCulture, HighthroughputImagingData, Drosophila_melanogaster_Data, ExperimentData, HighThroughputImagingData, ReproducibleResearch Author: Bernd Fischer [aut], Wolfgang Huber [ctb], Mike Smith [cre] Maintainer: Mike Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DmelSGI git_branch: RELEASE_3_18 git_last_commit: af5e733 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DmelSGI_1.34.0.tar.gz vignettes: vignettes/DmelSGI/inst/doc/DmelSGI.pdf vignetteTitles: DmelSGI hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DmelSGI/inst/doc/DmelSGI.R suggestsMe: FeatSeekR dependencyCount: 41 Package: DMRcatedata Version: 2.20.3 Depends: R (>= 4.0), ExperimentHub Imports: GenomicFeatures, Gviz, readxl, plyr, rtracklayer, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Suggests: knitr License: GPL-3 MD5sum: 46f23fffafbc0e7112852dc7e7a959a3 NeedsCompilation: no Title: Data Package for DMRcate Description: This package contains 9 data objects supporting functionality and examples of the Bioconductor package DMRcate. biocViews: ExperimentHub, ExperimentData, SNPData, Homo_sapiens_Data, Mus_musculus_Data, SequencingData, MicroarrayData, Genome Author: Tim Peters Maintainer: Tim Peters VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DMRcatedata git_branch: RELEASE_3_18 git_last_commit: 8575f6c git_last_commit_date: 2024-03-08 Date/Publication: 2024-03-12 source.ver: src/contrib/DMRcatedata_2.20.3.tar.gz vignettes: vignettes/DMRcatedata/inst/doc/DMRcatedata.pdf vignetteTitles: The DMRcate package user's guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DMRcatedata/inst/doc/DMRcatedata.R suggestsMe: DMRcate dependencyCount: 212 Package: DNAZooData Version: 1.2.0 Depends: R (>= 4.2), HiCExperiment Imports: BiocFileCache, S4Vectors, rjson, utils, tools Suggests: dplyr, testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 06c4b9dbbaddc3dd4dcdc51e34150aa7 NeedsCompilation: no Title: DNA Zoo data package Description: DNAZooData is a data package giving programmatic access to genome assemblies and Hi-C contact matrices uniformly processed by the [DNA Zoo Consortium](https://www.dnazoo.org/). The matrices are available in the multi-resolution `.hic` format. A URL to corrected genome assemblies in `.fastq` format is also provided to the end-user. biocViews: ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/DNAZooData VignetteBuilder: knitr BugReports: https://github.com/js2264/DNAZooData/issues git_url: https://git.bioconductor.org/packages/DNAZooData git_branch: RELEASE_3_18 git_last_commit: 226f034 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DNAZooData_1.2.0.tar.gz vignettes: vignettes/DNAZooData/inst/doc/DNAZooData.html vignetteTitles: DNAZooData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/DNAZooData/inst/doc/DNAZooData.R dependencyCount: 92 Package: DonaPLLP2013 Version: 1.40.0 Depends: EBImage, parallel License: Artistic-2.0 MD5sum: d8dc37afefc52856d520540b07faf545 NeedsCompilation: no Title: Supplementary data package for Dona et al. (2013) containing example images and tables Description: An experiment data package associated with the publication Dona et al. (2013). Package contains runnable vignettes showing an example image segmentation for one posterior lateral line primordium, and also the data table and code used to analyze tissue-scale lifetime-ratio statistics. biocViews: ExperimentData, Tissue Author: Erika Dona, Joseph D. Barry, Guillaume Valentin, Charlotte Quirin, Anton Khmelinskii, Andreas Kunze, Sevi Durdu, Lionel R. Newton, Ana Fernandez-Minan, Wolfgang Huber, Michael Knop, Darren Gilmour Maintainer: Joseph D. Barry git_url: https://git.bioconductor.org/packages/DonaPLLP2013 git_branch: RELEASE_3_18 git_last_commit: 08b364f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DonaPLLP2013_1.40.0.tar.gz vignettes: vignettes/DonaPLLP2013/inst/doc/PLLPanalysis.pdf, vignettes/DonaPLLP2013/inst/doc/PLLPstatistics.pdf vignetteTitles: PLLP image analysis, PLLP tissue-scale ratio statistics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DonaPLLP2013/inst/doc/PLLPanalysis.R, vignettes/DonaPLLP2013/inst/doc/PLLPstatistics.R dependencyCount: 46 Package: dorothea Version: 1.14.1 Depends: R (>= 4.0) Imports: dplyr, magrittr, bcellViper, decoupleR, Suggests: Biobase, BiocStyle, OmnipathR, viper, knitr, pheatmap, pkgdown, rmarkdown, Seurat, SingleCellExperiment, SummarizedExperiment, testthat (>= 2.1.0), tibble, tidyr, utils License: GPL-3 + file LICENSE MD5sum: 962242cff51a595005ff65d6dad90121 NeedsCompilation: no Title: Collection Of Human And Mouse TF Regulons Description: DoRothEA is a gene regulatory network containing signed transcription factor (TF) - target gene interactions. DoRothEA regulons, the collection of a TF and its transcriptional targets, were curated and collected from different types of evidence for both human and mouse. A confidence level was assigned to each TF-target interaction based on the number of supporting evidence. biocViews: ExperimentData, Homo_sapiens_Data, Mus_musculus_Data Author: Pau Badia-i-Mompel [cre] (), Daniel Dimitrov [aut] (), Christian H. Holland [aut] (), Luz Garcia-Alonso [aut], Alberto Valdeolivas [ctb], Minoo Ashtiani [ctb], Attila Gabor [ctb] Maintainer: Pau Badia-i-Mompel URL: https://saezlab.github.io/dorothea/, https://github.com/saezlab/dorothea VignetteBuilder: knitr BugReports: https://github.com/saezlab/dorothea/issues git_url: https://git.bioconductor.org/packages/dorothea git_branch: RELEASE_3_18 git_last_commit: 29657a5 git_last_commit_date: 2024-02-26 Date/Publication: 2024-02-27 source.ver: src/contrib/dorothea_1.14.1.tar.gz vignettes: vignettes/dorothea/inst/doc/dorothea.html vignetteTitles: DoRothEA regulons. hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/dorothea/inst/doc/dorothea.R importsMe: cosmosR, easier suggestsMe: MethReg dependencyCount: 37 Package: dressCheck Version: 0.40.0 Depends: R (>= 2.10.1), methods, Biobase (>= 2.5.5) Suggests: survival, chron License: Artistic-2.0 MD5sum: d6fb25eaad39c714024ed855c8c9c87d NeedsCompilation: no Title: data and software for checking Dressman JCO 25(5) 2007 Description: data and software for checking Dressman JCO 25(5) 2007 biocViews: ExperimentData, Genome Author: Vincent Carey Maintainer: Vincent Carey git_url: https://git.bioconductor.org/packages/dressCheck git_branch: RELEASE_3_18 git_last_commit: b1b3b52 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/dressCheck_0.40.0.tar.gz vignettes: vignettes/dressCheck/inst/doc/short.pdf vignetteTitles: short review of dressCheck contents hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/dressCheck/inst/doc/short.R dependencyCount: 6 Package: DropletTestFiles Version: 1.12.0 Imports: utils, ExperimentHub, AnnotationHub, S4Vectors Suggests: BiocStyle, knitr, rmarkdown, testthat, DropletUtils License: GPL-3 MD5sum: 5a3a3f0d0901c90c6a2b173b976c4868 NeedsCompilation: no Title: Test Files for Single-Cell Droplet Utilities Description: Assorted files generated from droplet-based single-cell protocols, to be used for testing functions in DropletUtils. Primarily intended for storing files that directly come out of processing pipelines like 10X Genomics' CellRanger software, prior to the formation of a SingleCellExperiment object. Unlike other packages, this is not designed to provide objects that are immediately ready for analysis. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData Author: Aaron Lun [ctb, cre] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DropletTestFiles git_branch: RELEASE_3_18 git_last_commit: 2ca3a38 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DropletTestFiles_1.12.0.tar.gz vignettes: vignettes/DropletTestFiles/inst/doc/motivation.html vignetteTitles: Test files for droplet-based single-cell utilities hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DropletTestFiles/inst/doc/motivation.R dependsOnMe: OSCA.advanced, OSCA.intro, OSCA.workflows suggestsMe: DropletUtils, TENxIO dependencyCount: 95 Package: DrugVsDiseasedata Version: 1.38.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: 40b800653aab57e822a18afe5bd1a2e7 NeedsCompilation: no Title: Drug versus Disease Data Description: Data package which provides default disease expression profiles, clusters and annotation information for use with the DrugVsDisease package. biocViews: Homo_sapiens_Data, MicroarrayData Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/DrugVsDiseasedata git_branch: RELEASE_3_18 git_last_commit: c361792 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DrugVsDiseasedata_1.38.0.tar.gz vignettes: vignettes/DrugVsDiseasedata/inst/doc/DrugVsDiseasedata.pdf vignetteTitles: DrugVsDiseasedata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DrugVsDiseasedata/inst/doc/DrugVsDiseasedata.R dependsOnMe: DrugVsDisease dependencyCount: 0 Package: DuoClustering2018 Version: 1.20.0 Imports: ExperimentHub, utils, magrittr, dplyr, tidyr, mclust, ggplot2, purrr, reshape2, viridis, ggthemes, stats, methods Suggests: knitr, rmarkdown, BiocStyle, iSEE, scater, SingleCellExperiment, SummarizedExperiment, plyr License: GPL (>=2) MD5sum: a2761f4db56025af2eaf8240392d01a0 NeedsCompilation: no Title: Data, Clustering Results and Visualization Functions From Duò et al (2018) Description: Preprocessed experimental and simulated scRNA-seq data sets used for evaluation of clustering methods for scRNA-seq data in Duò et al (2018). Also contains results from applying several clustering methods to each of the data sets, and functions for plotting method performance. biocViews: SingleCellData, ExperimentData Author: Angelo Duò, Charlotte Soneson Maintainer: Angelo Duò VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/DuoClustering2018 git_branch: RELEASE_3_18 git_last_commit: 27c0da6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DuoClustering2018_1.20.0.tar.gz vignettes: vignettes/DuoClustering2018/inst/doc/combine_data_clustering.html, vignettes/DuoClustering2018/inst/doc/plot_performance.html, vignettes/DuoClustering2018/inst/doc/run_clustering.html vignetteTitles: Visualize data sets and clustering results with iSEE, Plot performance summaries, Apply clustering method hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DuoClustering2018/inst/doc/combine_data_clustering.R, vignettes/DuoClustering2018/inst/doc/plot_performance.R, vignettes/DuoClustering2018/inst/doc/run_clustering.R suggestsMe: corral, scry dependencyCount: 118 Package: DvDdata Version: 1.38.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: d07387219229c006ba96b9ab43ddf4ff NeedsCompilation: no Title: Drug versus Disease Data Description: Data package which provides default drug and disease expression profiles for the DvD package. biocViews: GEO Author: C. Pacini Maintainer: J. Saez-Rodriguez git_url: https://git.bioconductor.org/packages/DvDdata git_branch: RELEASE_3_18 git_last_commit: 191d798 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/DvDdata_1.38.0.tar.gz vignettes: vignettes/DvDdata/inst/doc/DvDdata.pdf vignetteTitles: DvDdata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/DvDdata/inst/doc/DvDdata.R dependencyCount: 0 Package: dyebiasexamples Version: 1.42.0 Depends: R (>= 1.4.1), marray, GEOquery Suggests: dyebias, convert, Biobase License: GPL-3 MD5sum: b73aa6c0c98150b2bccba7802dda8c86 NeedsCompilation: no Title: Example data for the dyebias package, which implements the GASSCO method. Description: Data for the dyebias package, consisting of 4 self-self hybrizations of self-spotted yeast slides, as well as data from Array Express accession E-MTAB-32 biocViews: ExperimentData, SAGEData, CGHData, MicroarrayData, TwoChannelData, ArrayExpress Author: Philip Lijnzaad and Thanasis Margaritis Maintainer: Philip Lijnzaad URL: http://www.holstegelab.nl/publications/margaritis_lijnzaad git_url: https://git.bioconductor.org/packages/dyebiasexamples git_branch: RELEASE_3_18 git_last_commit: 9929f42 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/dyebiasexamples_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: dyebias dependencyCount: 49 Package: easierData Version: 1.8.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, AnnotationHub, utils, SummarizedExperiment Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0) License: MIT + file LICENSE MD5sum: 5092649863b833021ff8593731571183 NeedsCompilation: no Title: easier internal data and exemplary dataset from IMvigor210CoreBiologies package Description: Access to internal data required for the functional performance of easier package and exemplary bladder cancer dataset with both processed RNA-seq data and information on response to ICB therapy generated by Mariathasan et al. "TGF-B attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells", published in Nature, 2018 [doi:10.1038/nature25501](https://doi.org/10.1038/nature25501). The data is made available via [`IMvigor210CoreBiologies`](http://research-pub.gene.com/IMvigor210CoreBiologies/) package under the CC-BY license. biocViews: RNASeqData, ExperimentHub, ReproducibleResearch, ImmunoOncologyData, CancerData, ExperimentData Author: Oscar Lapuente-Santana [aut, cre] (), Federico Marini [aut] (), Arsenij Ustjanzew [aut] (), Francesca Finotello [aut] (), Federica Eduati [aut] () Maintainer: Oscar Lapuente-Santana VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/easierData git_branch: RELEASE_3_18 git_last_commit: c67f8de git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/easierData_1.8.0.tar.gz vignettes: vignettes/easierData/inst/doc/easierData.html vignetteTitles: easier data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/easierData/inst/doc/easierData.R importsMe: easier dependencyCount: 106 Package: EatonEtAlChIPseq Version: 0.40.0 Depends: GenomicRanges (>= 1.5.42), ShortRead, rtracklayer License: Artistic 2.0 MD5sum: e7695c3761d5f3d41dec21b0c8b50947 NeedsCompilation: no Title: ChIP-seq data of ORC-binding sites in Yeast excerpted from Eaton et al. 2010 Description: ChIP-seq analysis subset from "Conserved nucleosome positioning defines replication origins" (PMID 20351051) biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, ChIPSeqData, GEO Author: Patrick Aboyoun Maintainer: Patrick Aboyoun git_url: https://git.bioconductor.org/packages/EatonEtAlChIPseq git_branch: RELEASE_3_18 git_last_commit: 9750f41 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/EatonEtAlChIPseq_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 60 Package: ecoliLeucine Version: 1.42.0 Depends: R (>= 1.9.0), affy (>= 1.23.4), ecolicdf License: GPL (>= 2) MD5sum: 30af71114480d851f4dad806e7f8e0d1 NeedsCompilation: no Title: Experimental data with Affymetrix E. coli chips Description: Experimental data with Affymetrix E. coli chips, as reported in She-pin Hung, Pierre Baldi, and G. Wesley Hatfield, J. Biol. Chem., Vol. 277, Issue 43, 40309-40323, October 25, 2002 biocViews: ExperimentData, MicroarrayData Author: Laurent Gautier Maintainer: Laurent Gautier git_url: https://git.bioconductor.org/packages/ecoliLeucine git_branch: RELEASE_3_18 git_last_commit: d3789b4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ecoliLeucine_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ecolitk dependencyCount: 51 Package: EGSEAdata Version: 1.30.0 Depends: R (>= 3.4) Suggests: EGSEA License: file LICENSE MD5sum: 838b30ae6caf7c3cbb854e0404b52cda NeedsCompilation: no Title: Gene set collections for the EGSEA package Description: This package includes gene set collections that are used for the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing. It includes Human and Mouse versions of the MSidDB (Subramanian, et al. (2005) PNAS, 102(43):15545-15550) and GeneSetDB (Araki, et al. (2012) FEBS Open Bio, 2:76-82) collections. biocViews: ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data Author: Monther Alhamdoosh, Yifang Hu and Gordon K. Smyth Maintainer: Monther Alhamdoosh git_url: https://git.bioconductor.org/packages/EGSEAdata git_branch: RELEASE_3_18 git_last_commit: ce4ef29 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/EGSEAdata_1.30.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE importsMe: EGSEA dependencyCount: 0 Package: ELMER.data Version: 2.26.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: BiocStyle, knitr, dplyr, devtools, DT, rmarkdown License: GPL-3 MD5sum: 565ea1aa52f3f61d16b7560859ed7a3a NeedsCompilation: no Title: Data for the ELMER package Description: Supporting data for the ELMER package. It includes: - elmer.data.example.promoter: mae.promoter - elmer.data.example: data - EPIC.hg38.manifest - EPIC.hg19.manifest - hm450.hg38.manifest - hm450.hg19.manifest - hocomoco.table - human.TF - LUSC_meth_refined: Meth - LUSC_RNA_refined: GeneExp - Probes.motif.hg19.450K - Probes.motif.hg19.EPIC - Probes.motif.hg38.450K - Probes.motif.hg38.EPIC - TF.family - TF.subfamily - Human_genes__GRCh37_p13 - Human_genes__GRCh38_p12 - Human_genes__GRCh37_p13__tss - Human_genes__GRCh38_p12__tss biocViews: AssayDomainData, TechnologyData, OrganismData Author: Tiago Chedraoui Silva, Lijing Yao Simon Coetzee, Benjamin P. Berman Maintainer: Tiago Chedraoui Silva VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ELMER.data git_branch: RELEASE_3_18 git_last_commit: bb8f4d3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ELMER.data_2.26.0.tar.gz vignettes: vignettes/ELMER.data/inst/doc/vignettes.html vignetteTitles: ELMER.data: Supporting data for the ELMER package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ELMER.data/inst/doc/vignettes.R dependsOnMe: ELMER importsMe: EpiMix dependencyCount: 16 Package: emtdata Version: 1.10.0 Depends: R (>= 4.1) Imports: edgeR, ExperimentHub, SummarizedExperiment Suggests: testthat (>= 3.0.0), stringr, plyr, prettydoc, BiocStyle, Homo.sapiens, RColorBrewer, rmarkdown, BiocFileCache, knitr License: GPL-3 MD5sum: 4f861584cce979edd6d7bdce3624e916 NeedsCompilation: no Title: An ExperimentHub Package for data sets with an Epithelial to Mesenchymal Transition (EMT) Description: This package provides pre-processed RNA-seq data where the epithelial to mesenchymal transition was induced on cell lines. These data come from three publications Cursons et al. (2015), Cursons etl al. (2018) and Foroutan et al. (2017). In each of these publications, EMT was induces across multiple cell lines following treatment by TGFb among other stimulants. This data will be useful in determining the regulatory programs modified in order to achieve an EMT. Data were processed by the Davis laboratory in the Bioinformatics division at WEHI. biocViews: ExperimentHub, Homo_sapiens_Data, RNASeqData, ExpressionData Author: Malvika D. Kharbanda [aut, cre] (), Chin Wee Tan [aut] (), Dharmesh D. Bhuva [aut] () Maintainer: Malvika D. Kharbanda URL: https://github.com/DavisLaboratory/emtdata VignetteBuilder: knitr BugReports: https://github.com/DavisLaboratory/emtdata/issues git_url: https://git.bioconductor.org/packages/emtdata git_branch: RELEASE_3_18 git_last_commit: 630cb37 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/emtdata_1.10.0.tar.gz vignettes: vignettes/emtdata/inst/doc/emtdataR.html vignetteTitles: emtdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/emtdata/inst/doc/emtdataR.R dependencyCount: 110 Package: EpiMix.data Version: 1.4.0 Depends: R (>= 4.2.0), ExperimentHub (>= 0.99.6) Suggests: rmarkdown, knitr License: GPL-3 MD5sum: 52c386f6828945121acfca44eabb7827 NeedsCompilation: no Title: Data for the EpiMix package Description: Supporting data for the EpiMix R package. It include: - HM450_lncRNA_probes.rda - HM450_miRNA_probes.rda - EPIC_lncRNA_probes.rda - EPIC_miRNA_probes.rda - EpigenomeMap.rda - LUAD.sample.annotation - TCGA_BatchData - MET.data - mRNA.data - microRNA.data - lncRNA.data - Sample_EpiMixResults_lncRNA - Sample_EpiMixResults_miRNA - Sample_EpiMixResults_Regular - Sample_EpiMixResults_Enhancer - lncRNA expression data of tumors from TCGA that are stored in the ExperimentHub. biocViews: ExperimentData, ExperimentHub, Genome, RNASeqData, ExpressionData Author: Yuanning Zheng [aut, cre] Maintainer: Yuanning Zheng VignetteBuilder: knitr BugReports: https://github.com/gevaertlab/EpiMix/issues git_url: https://git.bioconductor.org/packages/EpiMix.data git_branch: RELEASE_3_18 git_last_commit: 6c2b70c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/EpiMix.data_1.4.0.tar.gz vignettes: vignettes/EpiMix.data/inst/doc/RetrieveData.html vignetteTitles: vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/EpiMix.data/inst/doc/RetrieveData.R dependsOnMe: EpiMix dependencyCount: 95 Package: epimutacionsData Version: 1.6.0 Depends: R (>= 4.2.0) Suggests: rmarkdown, BiocStyle, knitr, ExperimentHub, minfi License: MIT + file LICENSE MD5sum: e2681ab8096fd0f2b7e5d8ed68928280 NeedsCompilation: no Title: Data for epimutacions package Description: This package includes the data necessary to run functions and examples in epimutacions package. Collection of DNA methylation data. The package contains 2 datasets: (1) Control ( GEO: GSE104812), (GEO: GSE97362) case samples; and (2) reference panel (GEO: GSE127824). It also contains candidate regions to be epimutations in 450k methylation arrays. biocViews: ExperimentHub, Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Leire Abarrategui [aut, cre], Juan R. Gonzalez [aut], Carlos Ruiz-Arenas [aut], Carles Hernandez-Ferrer [aut] Maintainer: Leire Abarrategui URL: https://github.com/LeireAbarrategui/epimutacionsData VignetteBuilder: knitr BugReports: https://github.com/LeireAbarrategui/epimutacionsData/issues git_url: https://git.bioconductor.org/packages/epimutacionsData git_branch: RELEASE_3_18 git_last_commit: 9f31975 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/epimutacionsData_1.6.0.tar.gz vignettes: vignettes/epimutacionsData/inst/doc/epimutacionsData.html vignetteTitles: data repository for epimutacions package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/epimutacionsData/inst/doc/epimutacionsData.R dependsOnMe: epimutacions dependencyCount: 0 Package: estrogen Version: 1.48.0 Suggests: affy, hgu95av2.db, hgu95av2cdf, vsn, knitr, genefilter License: LGPL MD5sum: 41a3321678d1a9cb057e979d675f0cee NeedsCompilation: no Title: Microarray dataset that can be used as example for 2x2 factorial designs Description: Data from 8 Affymetrix genechips, looking at a 2x2 factorial design (with 2 repeats per level). biocViews: ExperimentData, MicroarrayData Author: Wolfgang Huber, Robert Gentleman Maintainer: Wolfgang Huber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/estrogen git_branch: RELEASE_3_18 git_last_commit: 9e8a694 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/estrogen_1.48.0.tar.gz vignettes: vignettes/estrogen/inst/doc/estrogen.pdf vignetteTitles: estrogen hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/estrogen/inst/doc/estrogen.R suggestsMe: categoryCompare dependencyCount: 0 Package: etec16s Version: 1.30.0 Depends: R (>= 3.3), Biobase, metagenomeSeq(>= 1.12.0) License: Artistic-2.0 MD5sum: 86353b5f2f77274b883120dc043f8ce5 NeedsCompilation: no Title: Individual-specific changes in the human gut microbiota after challenge with enterotoxigenic Escherichia coli and subsequent ciprofloxacin treatment Description: 16S rRNA gene sequencing data to study changes in the faecal microbiota of 12 volunteers during a human challenge study with ETEC (H10407) and subsequent treatment with ciprofloxacin. biocViews: ExperimentData, SequencingData, MicrobiomeData Author: Joseph N. Paulson Maintainer: Joseph N. Paulson git_url: https://git.bioconductor.org/packages/etec16s git_branch: RELEASE_3_18 git_last_commit: 61dee1a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/etec16s_1.30.0.tar.gz vignettes: vignettes/etec16s/inst/doc/etec16s.pdf vignetteTitles: etec16s hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/etec16s/inst/doc/etec16s.R dependencyCount: 32 Package: ewceData Version: 1.10.0 Depends: R (>= 4.1), ExperimentHub Suggests: knitr, BiocStyle, ggplot2, cowplot, rmarkdown, markdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: d2ee91be35e2c5433ce16e94717c50e7 NeedsCompilation: no Title: The ewceData package provides reference data required for ewce Description: This package provides reference data required for ewce. Expression Weighted Celltype Enrichment (EWCE) is used to determine which cell types are enriched within gene lists. The package provides tools for testing enrichments within simple gene lists (such as human disease associated genes) and those resulting from differential expression studies. The package does not depend upon any particular Single Cell Transcriptome dataset and user defined datasets can be loaded in and used in the analyses. biocViews: ExperimentData, ExperimentHub, ExpressionData, Genome, Proteome, MicroarrayData, SequencingData, SingleCellData, RNASeqData Author: Alan Murphy [cre] (), Nathan Skene [aut] () Maintainer: Alan Murphy URL: https://github.com/neurogenomics/ewceData VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/ewceData git_branch: RELEASE_3_18 git_last_commit: 1ce34d3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ewceData_1.10.0.tar.gz vignettes: vignettes/ewceData/inst/doc/ewceData.html vignetteTitles: Data package for Expression Weighted Celltype Enrichment EWCE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ewceData/inst/doc/ewceData.R importsMe: EWCE dependencyCount: 95 Package: faahKO Version: 1.42.0 Depends: R (>= 2.10), xcms (>= 3.4.0) License: LGPL MD5sum: 3525f525973323d33955a68ca38b5cd7 NeedsCompilation: no Title: Saghatelian et al. (2004) FAAH knockout LC/MS data Description: Positive ionization mode data in NetCDF file format. Centroided subset from 200-600 m/z and 2500-4500 seconds. Data originally reported in "Assignment of Endogenous Substrates to Enzymes by Global Metabolite Profiling" Biochemistry; 2004; 43(45). Also includes detected peaks in an xcmsSet. biocViews: ExperimentData, MassSpectrometryData Author: Colin A. Smith Maintainer: Steffen Neumann URL: http://dx.doi.org/10.1021/bi0480335 git_url: https://git.bioconductor.org/packages/faahKO git_branch: RELEASE_3_18 git_last_commit: 8b35271 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/faahKO_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: cosmiq suggestsMe: CAMERA, IPO, MAIT, peakPantheR, Risa, xcms dependencyCount: 150 Package: fabiaData Version: 1.40.0 Depends: R (>= 2.10.0), Biobase Imports: utils Suggests: fabia License: LGPL (>= 2.1) MD5sum: 7fd64db4d15610a66c609e60624bbff9 NeedsCompilation: no Title: Data sets for FABIA (Factor Analysis for Bicluster Acquisition) Description: Supplying gene expression data sets for the demos of the biclustering method "Factor Analysis for Bicluster Acquisition" (FABIA). The following three data sets are provided: A) breast cancer (van't Veer, Nature, 2002), B) multiple tissues (Su, PNAS, 2002), and C) diffuse large-B-cell lymphoma (Rosenwald, N Engl J Med, 2002). biocViews: CancerData, BreastCancerData, MicroarrayData Author: Sepp Hochreiter Maintainer: Sepp Hochreiter URL: http://www.bioinf.jku.at/software/fabia/fabia.html git_url: https://git.bioconductor.org/packages/fabiaData git_branch: RELEASE_3_18 git_last_commit: b38972a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/fabiaData_1.40.0.tar.gz vignettes: vignettes/fabiaData/inst/doc/fabiaData.pdf vignetteTitles: fabiaData: Manual for the R Package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/fabiaData/inst/doc/fabiaData.R dependencyCount: 6 Package: FANTOM3and4CAGE Version: 1.38.0 Depends: R (>= 2.15.0) License: GPL-3 MD5sum: 5d964e7a085d6a7b00e2b2215b765861 NeedsCompilation: no Title: CAGE data from FANTOM3 and FANTOM4 projects Description: CAGE (Cap Analysis Gene Expression) data from FANTOM3 and FANTOM4 projects produced by RIKEN Omics Science Center. biocViews: ExperimentData, Tissue Author: Vanja Haberle, Department of Biology, University of Bergen, Norway Maintainer: Vanja Haberle git_url: https://git.bioconductor.org/packages/FANTOM3and4CAGE git_branch: RELEASE_3_18 git_last_commit: f282f93 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FANTOM3and4CAGE_1.38.0.tar.gz vignettes: vignettes/FANTOM3and4CAGE/inst/doc/FANTOM3and4CAGE.pdf vignetteTitles: FANTOM3and4CAGE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FANTOM3and4CAGE/inst/doc/FANTOM3and4CAGE.R suggestsMe: CAGEr dependencyCount: 0 Package: ffpeExampleData Version: 1.40.0 Depends: R (>= 2.10.0), lumi Suggests: genefilter, affy License: GPL (>2) MD5sum: 6ea474bdf448ff6026ec4f1f376b7d69 NeedsCompilation: no Title: Illumina DASL example microarray data Description: A subset of GSE17565 (April et al. 2009) containing 32 FFPE samples of Burkitts Lymphoma and Breast Adenocarcinoma, with a dilution series in technical duplicate. biocViews: Tissue, Genome, MicroarrayData, TissueMicroarrayData, GEO Author: Levi Waldron Maintainer: Levi Waldron git_url: https://git.bioconductor.org/packages/ffpeExampleData git_branch: RELEASE_3_18 git_last_commit: 50a7db7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ffpeExampleData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ffpe dependencyCount: 165 Package: fibroEset Version: 1.44.0 Depends: Biobase (>= 2.5.5) License: LGPL MD5sum: cbc13cc5c4ac4f6445dc69383ad183ff NeedsCompilation: no Title: exprSet for Karaman et al. (2003) fibroblasts data Description: exprSet for Karaman et al. (2003) human, bonobo and gorilla fibroblasts data biocViews: ExperimentData, Genome, Homo_sapiens_Data, MicroarrayData, ChipOnChipData Author: Sylvia Merk Maintainer: Sylvia Merk git_url: https://git.bioconductor.org/packages/fibroEset git_branch: RELEASE_3_18 git_last_commit: 1ebe965 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/fibroEset_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biocGraph, clusterStab, geneplotter dependencyCount: 6 Package: FieldEffectCrc Version: 1.12.0 Depends: utils Imports: BiocStyle, RUnit, SummarizedExperiment, ExperimentHub (>= 0.99.6), AnnotationHub, DESeq2 Suggests: knitr, rmarkdown, BiocGenerics, sva, BiocManager License: Artistic-2.0 MD5sum: 73fa4e8649f3c4a523764d35afd421f2 NeedsCompilation: no Title: Tumor, tumor-adjacent normal, and healthy colorectal transcriptomes as SummarizedExperiment objects Description: Processed RNA-seq data for 1,139 human primary colorectal tissue samples across three phenotypes, including tumor, normal adjacent-to-tumor, and healthy, available as Synapse ID syn22237139 on synapse.org. Data have been parsed into SummarizedExperiment objects available via ExperimentHub to facilitate reproducibility and extension of results from Dampier et al. (PMCID: PMC7386360, PMID: 32764205). biocViews: ExperimentData, ReproducibleResearch, Tissue, Homo_sapiens_Data, ColonCancerData, RNASeqData, ExpressionData, ExperimentHub, SequencingData Author: Christopher Dampier [aut, cre] (), Bioconductor Package Maintainer [ctb] Maintainer: Christopher Dampier URL: http://bioconductor.org/packages/release/bioc/html/FieldEffectCrc.html VignetteBuilder: knitr BugReports: https://github.com/Bioconductor/FieldEffectCrc/ git_url: https://git.bioconductor.org/packages/FieldEffectCrc git_branch: RELEASE_3_18 git_last_commit: 7724df8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FieldEffectCrc_1.12.0.tar.gz vignettes: vignettes/FieldEffectCrc/inst/doc/FieldEffectCrc.html vignetteTitles: SummarizedExperiments of colorectal transcriptomes hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FieldEffectCrc/inst/doc/FieldEffectCrc.R dependencyCount: 135 Package: FIs Version: 1.30.0 Depends: R (>= 3.3) License: GPL-3 MD5sum: ef807b75136742a1dcb5ea70993d5c38 NeedsCompilation: no Title: Human Functional Interactions (FIs) for splineTimeR package Description: Data set containing two complete lists of identified functional interaction partners in Human. Data are derived from Reactome and BioGRID databases. biocViews: PathwayInteractionDatabase, Homo_sapiens_Data Author: Agata Michna Maintainer: Herbert Braselmann , Martin Selmansberger git_url: https://git.bioconductor.org/packages/FIs git_branch: RELEASE_3_18 git_last_commit: 6ebc57f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FIs_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: splineTimeR dependencyCount: 0 Package: fission Version: 1.22.0 Depends: R (>= 2.10), SummarizedExperiment Suggests: knitr, markdown License: LGPL MD5sum: 7d404509808bfc439270093b647ccd80 NeedsCompilation: no Title: RangedSummarizedExperiment for time course RNA-Seq of fission yeast in response to stress, by Leong et al., Nat Commun 2014. Description: This package provides a RangedSummarizedExperiment object of read counts in genes for a time course RNA-Seq experiment of fission yeast (Schizosaccharomyces pombe) in response to oxidative stress (1M sorbitol treatment) at 0, 15, 30, 60, 120 and 180 mins. The samples are further divided between a wild-type group and a group with deletion of atf21. The read count matrix was prepared and provided by the author of the study: Leong HS, Dawson K, Wirth C, Li Y, Connolly Y, Smith DL, Wilkinson CR, Miller CJ. "A global non-coding RNA system modulates fission yeast protein levels in response to stress". Nat Commun 2014 May 23;5:3947. PMID: 24853205. GEO: GSE56761. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData, GEO Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/fission git_branch: RELEASE_3_18 git_last_commit: efef834 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/fission_1.22.0.tar.gz vignettes: vignettes/fission/inst/doc/fission.html vignetteTitles: Fission yeast time course hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/fission/inst/doc/fission.R dependsOnMe: ROCpAI, rnaseqGene dependencyCount: 29 Package: Fletcher2013a Version: 1.38.0 Depends: R (>= 2.15), limma Imports: Biobase ,VennDiagram, gplots,grid License: GPL (>= 2) MD5sum: e4c4f9a4e8b24a7a72f9c63337a0eef9 NeedsCompilation: no Title: Gene expression data from breast cancer cells under FGFR2 signalling perturbation Description: The package Fletcher2013a contains time-course gene expression data from MCF-7 cells treated under different experimental systems in order to perturb FGFR2 signalling. The data comes from Fletcher et al. (Nature Comms 4:2464, 2013) where further details about the background and the experimental design of the study can be found. biocViews: ExperimentData, ExpressionData, CancerData, BreastCancerData, MicroarrayData Author: Mauro Castro, Michael Fletcher, Florian Markowetz and Kerstin Meyer. Maintainer: Mauro Castro URL: http://dx.doi.org/10.1038/ncomms3464 git_url: https://git.bioconductor.org/packages/Fletcher2013a git_branch: RELEASE_3_18 git_last_commit: 8b745f2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Fletcher2013a_1.38.0.tar.gz vignettes: vignettes/Fletcher2013a/inst/doc/Fletcher2013a.pdf vignetteTitles: Main vignette:Fletcher2013a hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Fletcher2013a/inst/doc/Fletcher2013a.R dependsOnMe: Fletcher2013b suggestsMe: NetActivity dependencyCount: 20 Package: Fletcher2013b Version: 1.38.0 Depends: R (>= 2.15), Fletcher2013a, RTN (>= 1.1.2), RedeR (>= 1.8.1), igraph Imports: RColorBrewer License: GPL (>= 2) MD5sum: cf656c92425c8a63ef584be08e8b742e NeedsCompilation: no Title: Master regulators of FGFR2 signalling and breast cancer risk Description: This package reproduces the systems biology analysis for the data in package Fletcher2013a using RTN. biocViews: ExperimentData, ChIPSeqData, CancerData, BreastCancerData, SNPData Author: Mauro Castro, Michael Fletcher, Florian Markowetz and Kerstin Meyer. Maintainer: Mauro Castro URL: http://dx.doi.org/10.1038/ncomms3464 git_url: https://git.bioconductor.org/packages/Fletcher2013b git_branch: RELEASE_3_18 git_last_commit: 40748fb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Fletcher2013b_1.38.0.tar.gz vignettes: vignettes/Fletcher2013b/inst/doc/Fletcher2013b.pdf vignetteTitles: Main vignette:Fletcher2013b hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Fletcher2013b/inst/doc/Fletcher2013b.R suggestsMe: geneplast, RTNsurvival dependencyCount: 156 Package: flowPloidyData Version: 1.28.0 Suggests: knitr, rmarkdown, flowCore License: GPL-3 MD5sum: 993a663f6d1cdc791c3f4e88d5b3b047 NeedsCompilation: no Title: Example Flow Cytometry Data Description: A collection of raw flow cytometry data for use in vignettes for the flowPloidy package. biocViews: FlowCytometryData Author: Tyler Smith Maintainer: Tyler Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/flowPloidyData git_branch: RELEASE_3_18 git_last_commit: d412446 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/flowPloidyData_1.28.0.tar.gz vignettes: vignettes/flowPloidyData/inst/doc/flowPloidyData.html vignetteTitles: flowPloidy Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: flowPloidy dependencyCount: 0 Package: FlowSorted.Blood.450k Version: 1.40.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: f88422c2d8a2f7ce4ca968292adfc8ab NeedsCompilation: no Title: Illumina HumanMethylation data on sorted blood cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays, and an object depicting which CpGs on the array are associated with cell type. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Andrew E Jaffe Maintainer: Andrew E Jaffe git_url: https://git.bioconductor.org/packages/FlowSorted.Blood.450k git_branch: RELEASE_3_18 git_last_commit: 7866ba6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.Blood.450k_1.40.0.tar.gz vignettes: vignettes/FlowSorted.Blood.450k/inst/doc/FlowSorted.Blood.450k.pdf vignetteTitles: FlowSorted Blood 450k Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.Blood.450k/inst/doc/FlowSorted.Blood.450k.R dependsOnMe: methylCC, methylationArrayAnalysis suggestsMe: mCSEA, minfi, wateRmelon, FlowSorted.Blood.EPIC dependencyCount: 144 Package: FlowSorted.Blood.EPIC Version: 2.6.0 Depends: R (>= 3.5), minfi(>= 1.21.2), ExperimentHub Imports: genefilter, nlme, quadprog, graphics, stats, utils, AnnotationHub, SummarizedExperiment, S4Vectors Suggests: knitr,rmarkdown, FlowSorted.CordBlood.450k, FlowSorted.Blood.450k(>= 1.0.1), EpiDISH,FlowSorted.CordBloodNorway.450k, testthat, IlluminaHumanMethylation450kmanifest(>= 0.2.0), IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b4.hg19 Enhances: FlowSorted.CordBloodCombined.450k(>= 1.11.5) License: GPL-3 MD5sum: e94cbb0480a032595cdb5d9714065bed NeedsCompilation: no Title: Illumina EPIC data on immunomagnetic sorted peripheral adult blood cells Description: Raw data objects to be used for blood cell proportion estimation in minfi and similar packages. The FlowSorted.Blood.EPIC object is based in samples assayed by Brock Christensen and colleagues; for details see Salas et al. 2018. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110554. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, TissueMicroarrayData, MethylationArrayData Author: Lucas A. Salas [cre, aut], Devin C. Koestler [aut], Rondi A. Butler [ctb], Helen M. Hansen [ctb], John K. Wiencke [ctb], Karl T. Kelsey [ctb], Brock C. Christensen [ctb], Kasper Daniel Hansen [ctb] (author and maintainer of the original minfi estimateCellCounts and internal functions), Jean-Philippe Fortin [ctb] (contributor in the original minfi estimateCellCounts and internal functions), Shan V. Andrews [ctb] (contributor in the original minfi estimateCellCounts and internal functions), E. Andres Houseman [ctb] (author of the original quadratic programming function used for cell projection), Andrew E Jaffe [ctb] (author of the original estimateCellCounts and internal functions within minfi) Maintainer: Lucas A. Salas URL: https://github.com/immunomethylomics/FlowSorted.Blood.EPIC VignetteBuilder: knitr BugReports: https://github.com/immunomethylomics/FlowSorted.Blood.EPIC/issues. git_url: https://git.bioconductor.org/packages/FlowSorted.Blood.EPIC git_branch: RELEASE_3_18 git_last_commit: 6d7e2bb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.Blood.EPIC_2.6.0.tar.gz vignettes: vignettes/FlowSorted.Blood.EPIC/inst/doc/FlowSorted.Blood.EPIC.html vignetteTitles: FlowSorted.Blood.EPIC hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.Blood.EPIC/inst/doc/FlowSorted.Blood.EPIC.R importsMe: HiBED suggestsMe: DMRcate, wateRmelon, FlowSorted.CordBloodCombined.450k dependencyCount: 172 Package: FlowSorted.CordBlood.450k Version: 1.30.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: fca81b7412af68100d7aed4d57d5fc59 NeedsCompilation: no Title: Illumina 450k data on sorted cord blood cells Description: Raw data objects to be used for cord blood cell proportion estimation in minfi. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Shan V. Andrews [cre, aut], Kelly M. Bakulski [aut] Maintainer: Shan V. Andrews git_url: https://git.bioconductor.org/packages/FlowSorted.CordBlood.450k git_branch: RELEASE_3_18 git_last_commit: 260dcd8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.CordBlood.450k_1.30.0.tar.gz vignettes: vignettes/FlowSorted.CordBlood.450k/inst/doc/FlowSorted.CordBlood.450k.pdf vignetteTitles: Minfi Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: FlowSorted.Blood.EPIC dependencyCount: 144 Package: FlowSorted.CordBloodCombined.450k Version: 1.18.0 Depends: R (>= 3.6), minfi (>= 1.21.2), ExperimentHub(>= 1.9.1) Imports: SummarizedExperiment, IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b4.hg19, utils, AnnotationHub Suggests: FlowSorted.Blood.EPIC, knitr, rmarkdown, testthat, IlluminaHumanMethylation450kmanifest(>= 0.2.0), IlluminaHumanMethylationEPICanno.ilm10b2.hg19 License: GPL-3 MD5sum: 769113b80606820ab2918dcacf1076b2 NeedsCompilation: no Title: Illumina 450k/EPIC data on FACS and MACS umbilical blood cells Description: Raw data objects to be used for umbilical cord blood cell proportion estimation in minfi and similar packages. The FlowSorted.CordBloodCombined.450k object is based in samples assayed by Bakulski et al, Gervin et al., de Goede et al., and Lin et al. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, TissueMicroarrayData, MethylationArrayData, ExperimentHub Author: Lucas A. Salas [cre, aut], Kristina Gervin [aut], Meaghan C. Jones [aut], Kelly M. Bakulski [ctb], Devin C. Koestler [ctb], John K. Wiencke [ctb], Karl T. Kelsey [ctb], Robert Lyle [ctb], Brock C. Christensen [ctb], Janine Felix [ctb] Maintainer: Lucas A. Salas URL: https://github.com/immunomethylomics/FlowSorted.CordBloodCombined.450k VignetteBuilder: knitr BugReports: https://github.com/immunomethylomics/FlowSorted.CordBloodCombined.450k/issues. git_url: https://git.bioconductor.org/packages/FlowSorted.CordBloodCombined.450k git_branch: RELEASE_3_18 git_last_commit: 5a2e255 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.CordBloodCombined.450k_1.18.0.tar.gz vignettes: vignettes/FlowSorted.CordBloodCombined.450k/inst/doc/FlowSorted.CordBloodCombined.450k.html vignetteTitles: FlowSorted.CordBloodCombined.450k hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.CordBloodCombined.450k/inst/doc/FlowSorted.CordBloodCombined.450k.R dependencyCount: 174 Package: FlowSorted.CordBloodNorway.450k Version: 1.28.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: 40016224becf643102bc3054f4e2508d NeedsCompilation: no Title: Illumina HumanMethylation data on sorted cord blood cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays, for cell type composition estimation. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: kristina gervin [cre, aut], Kasper Daniel Hansen [aut] Maintainer: kristina gervin URL: https://bitbucket.com/kasperdanielhansen/Illumina_CordBlood git_url: https://git.bioconductor.org/packages/FlowSorted.CordBloodNorway.450k git_branch: RELEASE_3_18 git_last_commit: b9cee45 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.CordBloodNorway.450k_1.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 144 Package: FlowSorted.DLPFC.450k Version: 1.38.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2) License: Artistic-2.0 MD5sum: ad95a51f7e8bcf7c0bec6dda80eb0a92 NeedsCompilation: no Title: Illumina HumanMethylation data on sorted frontal cortex cell populations Description: Raw data objects for the Illumina 450k DNA methylation microarrays. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, TissueMicroarrayData, MethylationArrayData Author: Andrew E Jaffe, Zachary A. Kaminsky Maintainer: Andrew E Jaffe git_url: https://git.bioconductor.org/packages/FlowSorted.DLPFC.450k git_branch: RELEASE_3_18 git_last_commit: b5b90bb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/FlowSorted.DLPFC.450k_1.38.0.tar.gz vignettes: vignettes/FlowSorted.DLPFC.450k/inst/doc/FlowSorted.DLPFC.450k.pdf vignetteTitles: FlowSorted DLPFC 450k Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/FlowSorted.DLPFC.450k/inst/doc/FlowSorted.DLPFC.450k.R importsMe: HiBED dependencyCount: 144 Package: flowWorkspaceData Version: 3.14.0 License: GPL-2 MD5sum: 96655cef2a21f1b9d303ec775597a2dc NeedsCompilation: no Title: A data package containing two flowJo, one diva xml workspace and the associated fcs files as well as three GatingSets for testing the flowWorkspace, openCyto and CytoML packages. Description: The necessary external data to run the flowWorkspace and openCyto vignette is found in this package. biocViews: ExperimentData, FlowCytometryData Author: Greg Finak Maintainer: Mike Jiang git_url: https://git.bioconductor.org/packages/flowWorkspaceData git_branch: RELEASE_3_18 git_last_commit: 4561f3d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/flowWorkspaceData_3.14.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: COMPASS, CytoML, flowClust, flowCore, flowWorkspace, ggcyto, openCyto dependencyCount: 0 Package: fourDNData Version: 1.2.0 Depends: R (>= 4.2) Imports: BiocFileCache, HiCExperiment, GenomicRanges, IRanges, S4Vectors, utils, tools Suggests: rtracklayer, dplyr, testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: bca623e919f7c17a40ffb4eae27cfe59 NeedsCompilation: no Title: 4DN data package Description: fourDNData is a data package giving programmatic access to Hi-C contact matrices uniformly processed by the [4DN consortium](https://www.4dnucleome.org/). The matrices are available in the multi-resolution `.mcool` format. biocViews: ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/fourDNData VignetteBuilder: knitr BugReports: https://github.com/js2264/fourDNData/issues git_url: https://git.bioconductor.org/packages/fourDNData git_branch: RELEASE_3_18 git_last_commit: 89ed364 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/fourDNData_1.2.0.tar.gz vignettes: vignettes/fourDNData/inst/doc/fourDNData.html vignetteTitles: fourDNData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/fourDNData/inst/doc/fourDNData.R dependencyCount: 91 Package: frmaExampleData Version: 1.38.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 9713801ffd08145323ca4d31a3631995 NeedsCompilation: no Title: Frma Example Data Description: Data files used by the examples in frma and frmaTools packages biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/frmaExampleData git_branch: RELEASE_3_18 git_last_commit: 5077fc6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/frmaExampleData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: frma, frmaTools dependencyCount: 0 Package: furrowSeg Version: 1.30.0 Depends: R (>= 3.3), EBImage Imports: abind, dplyr, locfit, tiff Suggests: BiocStyle, ggplot2, knitr License: Artistic-2.0 MD5sum: f41e88a4d47949b3b8b126b0fc7852eb NeedsCompilation: no Title: Furrow Segmentation Description: Image feature data and analysis codes for the Guglielmi, Barry et al. paper describing the application of an optogenetics tools to disrupt Drosophila embryo furrowing. biocViews: ExperimentData, Drosophila_melanogaster_Data, Tissue, ReproducibleResearch Author: Joseph Barry Maintainer: Joseph Barry VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/furrowSeg git_branch: RELEASE_3_18 git_last_commit: c435138 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/furrowSeg_1.30.0.tar.gz vignettes: vignettes/furrowSeg/inst/doc/exampleFurrowSegmentation.pdf, vignettes/furrowSeg/inst/doc/genPaperFigures.pdf vignetteTitles: Supplementary Methods - Example furrow segmentation, Supplementary Methods - Automatic generation of paper figures hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/furrowSeg/inst/doc/exampleFurrowSegmentation.R, vignettes/furrowSeg/inst/doc/genPaperFigures.R dependencyCount: 56 Package: gageData Version: 2.40.0 Depends: R (>= 2.10) Suggests: gage, pathview, genefilter License: GPL (>=2.0) MD5sum: 889e4b6ceda6c2a80f61ad4e867c3b59 NeedsCompilation: no Title: Auxillary data for gage package Description: This is a supportive data package for the software package, gage. However, the data supplied here are also useful for gene set or pathway analysis or microarray data analysis in general. In this package, we provide two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and BMP6 (originally published as an demo dataset for GAGE, also registered as GSE13604 in GEO). This package also includes commonly used gene set data based on KEGG pathways and GO terms for major research species, including human, mouse, rat and budding yeast. Mapping data between common gene IDs for budding yeast are also included. biocViews: ExperimentData, StemCell, CancerData, BreastCancerData, MicroarrayData, GEO Author: Weijun Luo Maintainer: Weijun Luo git_url: https://git.bioconductor.org/packages/gageData git_branch: RELEASE_3_18 git_last_commit: 5fab3ff git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gageData_2.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: gage dependencyCount: 0 Package: gaschYHS Version: 1.40.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: 29983eadb2a2a20f7c5475206367d641 NeedsCompilation: no Title: ExpressionSet for response of yeast to heat shock and other environmental stresses Description: Data from PMID 11102521 biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data Author: Audrey Gasch and colleagues Maintainer: Vince Carey URL: http://genome-www.stanford.edu/yeast_stress/data/rawdata/complete_dataset.txt git_url: https://git.bioconductor.org/packages/gaschYHS git_branch: RELEASE_3_18 git_last_commit: 3d9da0e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gaschYHS_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 6 Package: gcspikelite Version: 1.40.0 Depends: R (>= 2.5.0) License: LGPL MD5sum: 91b995753732f0d5508fdc2d7dcb998f NeedsCompilation: no Title: Spike-in data for GC/MS data and methods within flagme Description: Spike-in data for GC/MS data and methods within flagme biocViews: MassSpectrometryData Author: Mark Robinson Maintainer: Mark Robinson git_url: https://git.bioconductor.org/packages/gcspikelite git_branch: RELEASE_3_18 git_last_commit: 9a2fd3b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gcspikelite_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: flagme suggestsMe: erah dependencyCount: 0 Package: gDNAinRNAseqData Version: 1.2.0 Depends: R (>= 4.3) Imports: RCurl, XML, ExperimentHub, BiocGenerics, Rsamtools Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 52e275ca255493684657a091667f987f NeedsCompilation: no Title: RNA-seq data with different levels of gDNA contamination Description: Provides access to BAM files generated from RNA-seq data produced with different levels of gDNA contamination. It currently allows one to download a subset of the data published by Li et al., BMC Genomics, 23:554, 2022. This subset of data is formed by BAM files with about 100,000 alignments with three different levels of gDNA contamination. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, Homo_sapiens_Data Author: Robert Castelo [aut, cre] () Maintainer: Robert Castelo URL: https://github.com/functionalgenomics/gDNAinRNAseqData VignetteBuilder: knitr BugReports: https://github.com/functionalgenomics/gDNAinRNAseqData git_url: https://git.bioconductor.org/packages/gDNAinRNAseqData git_branch: RELEASE_3_18 git_last_commit: 596b0a8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gDNAinRNAseqData_1.2.0.tar.gz vignettes: vignettes/gDNAinRNAseqData/inst/doc/gDNAinRNAseqData.html vignetteTitles: RNA-seq data with different levels of gDNA contamination hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/gDNAinRNAseqData/inst/doc/gDNAinRNAseqData.R suggestsMe: gDNAx dependencyCount: 108 Package: gDRtestData Version: 1.0.0 Depends: R (>= 4.2) Imports: checkmate Suggests: BiocStyle, data.table, gDRstyle (>= 0.99.16), knitr, qs, reshape2, rmarkdown, SummarizedExperiment, testthat License: Artistic-2.0 MD5sum: 8de3dea2673f0e7dc9412e36da2c4f9d NeedsCompilation: no Title: gDRtestData - R data package with testing dose reponse data Description: R package with internal dose-response test data. Package provides functions to generate input testing data that can be used as the input for gDR pipeline. It also contains RDS files with MAE data processed by gDR. biocViews: ExperimentData, TechnologyData Author: Aleksander Chlebowski [aut], Bartosz Czech [aut], Arkadiusz Gladki [cre, aut], Marc Hafner [aut], Marcin Kamianowski [aut], Sergiu Mocanu [aut], Natalia Potocka [aut], Dariusz Scigocki [aut], Allison Voung [aut] Maintainer: Arkadiusz Gladki VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/gDRtestData git_branch: RELEASE_3_18 git_last_commit: 1ad7f03 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gDRtestData_1.0.0.tar.gz vignettes: vignettes/gDRtestData/inst/doc/gDRtestData.html vignetteTitles: gDRtestData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/gDRtestData/inst/doc/gDRtestData.R suggestsMe: gDR, gDRcore, gDRimport, gDRutils dependencyCount: 3 Package: geneLenDataBase Version: 1.38.0 Depends: R (>= 2.11.0) Imports: utils, rtracklayer, GenomicFeatures (>= 1.3.15) License: LGPL (>= 2) MD5sum: c29099d3142aad07590e22ce37c6acf3 NeedsCompilation: no Title: Lengths of mRNA transcripts for a number of genomes Description: Length of mRNA transcripts for a number of genomes and gene ID formats, largely based on UCSC table browser biocViews: ExperimentData, Genome Author: Matthew Young Maintainer: Matthew Young , Nadia Davidson git_url: https://git.bioconductor.org/packages/geneLenDataBase git_branch: RELEASE_3_18 git_last_commit: cbe2fbd git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/geneLenDataBase_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: goseq importsMe: SMITE dependencyCount: 99 Package: genomationData Version: 1.34.0 Suggests: knitr License: GPL-3 MD5sum: dc03eef7730719f7c66f72ca5e9915db NeedsCompilation: no Title: Experimental data for showing functionalities of the genomation package Description: The package contains Chip Seq, Methylation and Cage data, downloaded from Encode biocViews: ExperimentData, Genome, StemCell, SequencingData, ChIPSeqData, ChipOnChipData, ENCODE Author: Altuna Akalin, Vedran Franke Maintainer: Vedran Franke VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/genomationData git_branch: RELEASE_3_18 git_last_commit: 3cd09f2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/genomationData_1.34.0.tar.gz vignettes: vignettes/genomationData/inst/doc/genomationData-knitr.pdf vignetteTitles: genomationData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/genomationData/inst/doc/genomationData-knitr.R suggestsMe: genomation dependencyCount: 0 Package: GenomicDistributionsData Version: 1.10.0 Depends: R (>= 4.1) Imports: ExperimentHub (>= 1.14.0), AnnotationHub, AnnotationFilter, data.table, utils, BSgenome, GenomeInfoDb, GenomicFeatures, GenomicRanges, ensembldb Suggests: knitr, BiocStyle, rmarkdown License: BSD_2_clause + file LICENSE MD5sum: 84067e85ccbf3605bc1f5a1b7d8508ad NeedsCompilation: no Title: Reference data for GenomicDistributions package Description: This package provides ready to use reference data for GenomicDistributions package. Raw data was obtained from ensembldb and processed with helper functions. Data files are available for the following genome assemblies: hg19, hg38, mm9 and mm10. biocViews: ExperimentHub, ExperimentData, Genome Author: Michal Stolarczyk [aut], Kristyna Kupkova [aut, cre], Jose Verdezoto [aut], John Lawson [ctb], Jason Smith [ctb], Nathan C. Sheffield [ctb] Maintainer: Kristyna Kupkova VignetteBuilder: knitr BugReports: http://github.com/databio/GenomicDistributionsData git_url: https://git.bioconductor.org/packages/GenomicDistributionsData git_branch: RELEASE_3_18 git_last_commit: 62e25be git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GenomicDistributionsData_1.10.0.tar.gz vignettes: vignettes/GenomicDistributionsData/inst/doc/intro.html vignetteTitles: 1. Getting started with GenomicDistributionsData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GenomicDistributionsData/inst/doc/intro.R suggestsMe: GenomicDistributions dependencyCount: 134 Package: GeuvadisTranscriptExpr Version: 1.30.0 Depends: R (>= 3.5.0) Suggests: limma, rtracklayer, GenomicRanges, Rsamtools, VariantAnnotation, tools, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: 806de22bef0659a3b6f9db122d87a1d6 NeedsCompilation: no Title: Data package with transcript expression and bi-allelic genotypes from the GEUVADIS project Description: Provides transcript expression and bi-allelic genotypes corresponding to the chromosome 19 for CEU individuals from the GEUVADIS project, Lappalainen et al. biocViews: Homo_sapiens_Data, SNPData, Genome, RNASeqData, SequencingData, ExpressionData Author: Malgorzata Nowicka [aut, cre] Maintainer: Malgorzata Nowicka VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GeuvadisTranscriptExpr git_branch: RELEASE_3_18 git_last_commit: de40a69 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GeuvadisTranscriptExpr_1.30.0.tar.gz vignettes: vignettes/GeuvadisTranscriptExpr/inst/doc/GeuvadisTranscriptExpr.pdf vignetteTitles: Preprocessing and preparation of transcript expression and genotypes from the GEUVADIS project for sQTL analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GeuvadisTranscriptExpr/inst/doc/GeuvadisTranscriptExpr.R suggestsMe: DRIMSeq dependencyCount: 0 Package: GIGSEAdata Version: 1.20.0 Depends: R (>= 3.5) Suggests: GIGSEA, knitr, rmarkdown License: LGPL-3 MD5sum: 470cdb6073d9af3d23056b55e6b8c98d NeedsCompilation: no Title: Gene set collections for the GIGSEA package Description: The gene set collection used for the GIGSEA package. biocViews: ExperimentData, Homo_sapiens_Data Author: Shijia Zhu Maintainer: Shijia Zhu VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GIGSEAdata git_branch: RELEASE_3_18 git_last_commit: bd836c5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GIGSEAdata_1.20.0.tar.gz vignettes: vignettes/GIGSEAdata/inst/doc/GIGSEAdata_tutorial.pdf vignetteTitles: GIGSEAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GIGSEAdata/inst/doc/GIGSEAdata_tutorial.R dependencyCount: 0 Package: golubEsets Version: 1.44.0 Depends: R (>= 2.14.0), Biobase (>= 2.5.5) License: LGPL MD5sum: 49e3527c00f06c189a048a6b871f3d54 NeedsCompilation: no Title: exprSets for golub leukemia data Description: representation of public golub data with some covariate data of provenance unknown to the maintainer at present; now employs ExpressionSet format biocViews: ExperimentData, Genome, CancerData, LeukemiaCancerData Author: Todd Golub Maintainer: Vince Carey git_url: https://git.bioconductor.org/packages/golubEsets git_branch: RELEASE_3_18 git_last_commit: 0c2ab6b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/golubEsets_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: adSplit, Biobase, biosigner, GlobalAncova, globaltest, idiogram, MLInterfaces, pvca, RDRToolbox, twilight dependencyCount: 6 Package: gpaExample Version: 1.14.0 Depends: R (>= 4.0.0) License: GPL (>= 2) MD5sum: e989af58ed5bbc10573f7438b3ee7836 NeedsCompilation: no Title: Example data for the GPA package (Genetic analysis incorporating Pleiotropy and Annotation) Description: Example data for the GPA package, consisting of the p-values of 1,219,805 SNPs for five psychiatric disorder GWAS from the psychiatric GWAS consortium (PGC), with the annotation data using genes preferentially expressed in the central nervous system (CNS). biocViews: ExperimentData, Homo_sapiens_Data, SNPData Author: Dongjun Chung, Carter Allen Maintainer: Dongjun Chung URL: http://dongjunchung.github.io/GPA/ git_url: https://git.bioconductor.org/packages/gpaExample git_branch: RELEASE_3_18 git_last_commit: 1379847 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/gpaExample_1.14.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GPA dependencyCount: 0 Package: grndata Version: 1.34.0 Depends: R (>= 2.10) Suggests: RUnit, BiocGenerics, knitr License: GPL-3 MD5sum: 0ebac67277a5ca915f9a971d3659af5e NeedsCompilation: no Title: Synthetic Expression Data for Gene Regulatory Network Inference Description: Simulated expression data for five large Gene Regulatory Networks from different simulators biocViews: ExperimentData, NetworkInference, GeneExpression, Microarray, GeneRegulation, Network Author: Pau Bellot, Catharina Olsen, Patrick E Meyer Maintainer: Pau Bellot VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/grndata git_branch: RELEASE_3_18 git_last_commit: 21a662e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/grndata_1.34.0.tar.gz vignettes: vignettes/grndata/inst/doc/grndata.html vignetteTitles: GRNdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: GSBenchMark Version: 1.22.0 Depends: R (>= 2.13.1) License: GPL-2 MD5sum: bedfa52de1b414ae5fe9d5fc376380ba NeedsCompilation: no Title: Gene Set Benchmark Description: Benchmarks for Machine Learning Analysis of the Gene Sets. The package contains a list of pathways and gene expression data sets used in "Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC)" (2010) by Eddy et al. biocViews: MicroarrayData Author: Bahman Afsari , Elana J. Fertig Maintainer: Bahman Afsari git_url: https://git.bioconductor.org/packages/GSBenchMark git_branch: RELEASE_3_18 git_last_commit: abb8bad git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSBenchMark_1.22.0.tar.gz vignettes: vignettes/GSBenchMark/inst/doc/GSBenchMark.pdf vignetteTitles: Working with the GSBenchMark package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSBenchMark/inst/doc/GSBenchMark.R suggestsMe: GSReg dependencyCount: 0 Package: GSE103322 Version: 1.8.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, SummarizedExperiment, SingleCellExperiment License: Artistic-2.0 MD5sum: 3816b430b716edaaa0ef22dba38cf58e NeedsCompilation: no Title: GEO accession data GSE103322 as a SingleCellExperiment Description: Single cell RNA-Seq data for 5902 cells from 18 patients with oral cavity head and neck squamous cell carcinoma available as GEO accession [GSE103322] (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103322). GSE103322 data have been parsed into a SincleCellExperiment object available in ExperimentHub. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData, ExperimentData, ExpressionData, RNASeqData, Homo_sapiens_Data, CancerData, SingleCellData, GEO, ExperimentHub Author: Mariano Alvarez [aut, cre] Maintainer: Mariano Alvarez VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE103322 git_branch: RELEASE_3_18 git_last_commit: ca9003d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSE103322_1.8.0.tar.gz vignettes: vignettes/GSE103322/inst/doc/GSE103322.html vignetteTitles: scRNASeq HNSC data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSE103322/inst/doc/GSE103322.R dependencyCount: 48 Package: GSE13015 Version: 1.10.0 Depends: Biobase, GEOquery Imports: preprocessCore, SummarizedExperiment, GEOquery, Biobase Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown License: MIT License MD5sum: 99fae6872abf6820842a1340f7fd6b4e NeedsCompilation: no Title: GEO accession data GSE13015_GPL6106 as a SummarizedExperiment Description: Microarray expression matrix platform GPL6106 and clinical data for 67 septicemic patients and made them available as GEO accession [GSE13015](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13015). GSE13015 data have been parsed into a SummarizedExperiment object available in ExperimentHub. This data data could be used as an example supporting BloodGen3Module R package. biocViews: ExperimentData, MicroarrayData,ExperimentHub Author: Darawan Rinchai [aut, cre] () Maintainer: Darawan Rinchai VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE13015 git_branch: RELEASE_3_18 git_last_commit: b7f36ac git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSE13015_1.10.0.tar.gz vignettes: vignettes/GSE13015/inst/doc/GSE13015.html vignetteTitles: Expression data from GSE13015 using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GSE13015/inst/doc/GSE13015.R dependencyCount: 69 Package: GSE159526 Version: 1.8.0 Suggests: ExperimentHub, BiocStyle, RefManageR, knitr, rmarkdown, testthat, minfi, tibble, sessioninfo License: MIT + file LICENSE MD5sum: d89442c94cb87f0760a9f0f85426a8fa NeedsCompilation: no Title: Placental cell DNA methylation data from GEO accession GSE159526 Description: 19 term and 9 first trimester placental chorionic villi and matched cell-sorted samples ran on Illumina HumanMethylationEPIC DNA methylation microarrays. This data was made available on GEO accession [GSE159526](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE159526). Both the raw and processed data has been made available on \code{ExperimentHub}. Raw unprocessed data formatted as an RGChannelSet object for integration and normalization using minfi and other existing Bioconductor packages. Processed normalized data is also available as a DNA methylation \code{matrix}, with a corresponding phenotype information as a \code{data.frame} object. biocViews: ExperimentData, ExperimentHub, GEO, Genome, Tissue, MethylationArrayData, Homo_sapiens_Data Author: Victor Yuan [aut, cre] () Maintainer: Victor Yuan URL: https://github.com/wvictor14/GSE159526 VignetteBuilder: knitr BugReports: https://github.com/wvictor14/GSE159526/issues git_url: https://git.bioconductor.org/packages/GSE159526 git_branch: RELEASE_3_18 git_last_commit: be88802 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSE159526_1.8.0.tar.gz vignettes: vignettes/GSE159526/inst/doc/GSE159526.html vignetteTitles: Introduction to GSE159526 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/GSE159526/inst/doc/GSE159526.R dependencyCount: 0 Package: GSE62944 Version: 1.30.0 Depends: Biobase, GEOquery Suggests: ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, DESeq2 License: Artistic-2.0 MD5sum: 5b6c58aaee948c9cd0e0d52b5adcf264 NeedsCompilation: no Title: GEO accession data GSE62944 as a SummarizedExperiment Description: TCGA processed RNA-Seq data for 9264 tumor and 741 normal samples across 24 cancer types and made them available as GEO accession [GSE62944](http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62944). GSE62944 data have been parsed into a SummarizedExperiment object available in ExperimentHub. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData Author: Sonali Arora Maintainer: Bioconductor Package Maintainer URL: http://bioconductor.org/packages/release/bioc/html/GSE62944.html VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/GSE62944 git_branch: RELEASE_3_18 git_last_commit: e575c13 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSE62944_1.30.0.tar.gz vignettes: vignettes/GSE62944/inst/doc/GSE62944.html vignetteTitles: Raw TCGA data using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/GSE62944/inst/doc/GSE62944.R suggestsMe: GSEABenchmarkeR dependencyCount: 48 Package: GSVAdata Version: 1.38.0 Depends: R (>= 3.5), Biobase, GSEABase, hgu95a.db License: Artistic-2.0 MD5sum: 3c2d6a66967ab8c3c2545fc3323282b3 NeedsCompilation: no Title: Data employed in the vignette of the GSVA package Description: This package stores the data employed in the vignette of the GSVA package. These data belong to the following publications: Armstrong et al. Nat Genet 30:41-47, 2002; Cahoy et al. J Neurosci 28:264-278, 2008; Carrel and Willard, Nature, 434:400-404, 2005; Huang et al. PNAS, 104:9758-9763, 2007; Pickrell et al. Nature, 464:768-722, 2010; Skaletsky et al. Nature, 423:825-837; Verhaak et al. Cancer Cell 17:98-110, 2010 biocViews: ExperimentData, RNASeqData, Homo_sapiens_Data, CancerData, LeukemiaCancerData Author: Robert Castelo Maintainer: Robert Castelo git_url: https://git.bioconductor.org/packages/GSVAdata git_branch: RELEASE_3_18 git_last_commit: 196f501 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GSVAdata_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: singleCellTK, RVA suggestsMe: GSAR, GSVA dependencyCount: 53 Package: GWASdata Version: 1.40.0 Depends: GWASTools Suggests: ncdf4 License: Artistic-2.0 MD5sum: 57fec70f980b9e476f0c59d397797815 NeedsCompilation: no Title: Data used in the examples and vignettes of the GWASTools package Description: Selected Affymetrix and Illlumina SNP data for HapMap subjects. Data provided by the Center for Inherited Disease Research at Johns Hopkins University and the Broad Institute of MIT and Harvard University. biocViews: ExperimentData, MicroarrayData, SNPData, HapMap Author: Stephanie Gogarten Maintainer: Stephanie Gogarten git_url: https://git.bioconductor.org/packages/GWASdata git_branch: RELEASE_3_18 git_last_commit: b838e66 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/GWASdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: GENESIS, GWASTools dependencyCount: 112 Package: h5vcData Version: 2.22.0 Suggests: h5vc License: GPL (>= 3) MD5sum: c251316e2d6dc6cb90e8faad0015103b NeedsCompilation: no Title: Example data for the h5vc package Description: This package contains the data used in the vignettes and examples of the 'h5vc' package biocViews: CancerData Author: Paul Theodor Pyl Maintainer: Paul Theodor Pyl git_url: https://git.bioconductor.org/packages/h5vcData git_branch: RELEASE_3_18 git_last_commit: 33c458b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/h5vcData_2.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: h5vc suggestsMe: HDF5Array dependencyCount: 0 Package: hapmap100khind Version: 1.44.0 Suggests: oligo License: GPL MD5sum: 0168028295626d811e305d4008ce9996 NeedsCompilation: no Title: Sample data - Hapmap 100K HIND Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap100khind git_branch: RELEASE_3_18 git_last_commit: b17b43f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmap100khind_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap100kxba Version: 1.44.0 Suggests: oligo License: GPL MD5sum: b4a619fb108a36920109307fbf63985b NeedsCompilation: no Title: Sample data - Hapmap 100K XBA Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap100kxba git_branch: RELEASE_3_18 git_last_commit: 79f7a14 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmap100kxba_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: hapmap500knsp Version: 1.44.0 Suggests: oligo License: GPL MD5sum: 15b799bba4a395ccf715acfc7bbdae04 NeedsCompilation: no Title: Sample data - Hapmap 500K NSP Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap500knsp git_branch: RELEASE_3_18 git_last_commit: 1ee33b5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmap500knsp_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmap500ksty Version: 1.44.0 Suggests: oligo License: GPL MD5sum: 7a1d4983ac3e411dadedc130d85c2557 NeedsCompilation: no Title: Sample data - Hapmap 500K STY Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmap500ksty git_branch: RELEASE_3_18 git_last_commit: ee58e13 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmap500ksty_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hapmapsnp5 Version: 1.44.0 Suggests: oligo License: GPL MD5sum: 2f14e60f39cf94c43f2dd0e5aa5a48e2 NeedsCompilation: no Title: Sample data - Hapmap SNP 5.0 Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, CancerData, SNPData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmapsnp5 git_branch: RELEASE_3_18 git_last_commit: 42c2690 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmapsnp5_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligoClasses dependencyCount: 0 Package: hapmapsnp6 Version: 1.44.0 Depends: R (>= 2.15) Suggests: oligo, oligoClasses License: GPL MD5sum: 2635c012a513343484177db2070209e9 NeedsCompilation: no Title: Sample data - Hapmap SNP 6.0 Affymetrix Description: Sample dataset obtained from http://www.hapmap.org biocViews: ExperimentData, HapMap, SNPData Author: Hapmap Consortium Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/hapmapsnp6 git_branch: RELEASE_3_18 git_last_commit: 661c2b4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hapmapsnp6_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: crlmm, oligoClasses dependencyCount: 0 Package: harbChIP Version: 1.40.0 Depends: R (>= 2.10.0), tools, utils, IRanges, Biobase (>= 2.5.5), Biostrings Imports: methods, stats License: Artistic-2.0 MD5sum: f5948fc0f4c1ced0a43e85c1885f5d9e NeedsCompilation: no Title: Experimental Data Package: harbChIP Description: data from a yeast ChIP-chip experiment biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/harbChIP git_branch: RELEASE_3_18 git_last_commit: 8611d17 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/harbChIP_1.40.0.tar.gz vignettes: vignettes/harbChIP/inst/doc/yeastUpstream.pdf vignetteTitles: upstream sequence management for yeast hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/harbChIP/inst/doc/yeastUpstream.R dependencyCount: 19 Package: HarmanData Version: 1.30.0 Depends: R (>= 3.5.0) Suggests: BiocGenerics, BiocStyle, knitr, rmarkdown, Harman (>= 1.23.3) License: GPL-3 MD5sum: 7df1447aff75abdf025678b51a0ee8fb NeedsCompilation: no Title: Data for the Harman package Description: Datasets of accompany Harman, a PCA and constrained optimisation based technique. Contains three example datasets: IMR90, Human lung fibroblast cells exposed to nitric oxide; NPM, an experiment to test skin penetration of metal oxide nanoparticles following topical application of sunscreens in non-pregnant mice; OLF; an experiment to gauge the response of human olfactory neurosphere-derived (hONS) cells to ZnO nanoparticles. Since version 1.24, this package also contains the Infinium5 dataset, a set of batch correction adjustments across 5 Illumina Infinium Methylation BeadChip datasets. This file does not contain methylation data, but summary statistics of 5 datasets after correction. There is also an EpiSCOPE_sample file as exampling for the new methylation clustering functionality in Harman. biocViews: ExpressionData, MicroarrayData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data Author: Yalchin Oytam [aut], Josh Bowden [aut], Jason Ross [aut, cre] Maintainer: Jason Ross URL: http://www.bioinformatics.csiro.au/harman/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HarmanData git_branch: RELEASE_3_18 git_last_commit: b656473 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HarmanData_1.30.0.tar.gz vignettes: vignettes/HarmanData/inst/doc/HarmanData.html vignetteTitles: HarmanData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HarmanData/inst/doc/HarmanData.R suggestsMe: Harman dependencyCount: 0 Package: HarmonizedTCGAData Version: 1.24.0 Depends: R (>= 3.4.0) Imports: ExperimentHub Suggests: AnnotationHub, knitr, rmarkdown, igraph, survival, ANF, stats, testthat License: GPL-3 MD5sum: f6e8f685a67152c6f382089c0e6aae01 NeedsCompilation: no Title: Processed Harmonized TCGA Data of Five Selected Cancer Types Description: This package contains the processed harmonized TCGA data of five cancer types used in "Tianle Ma and Aidong Zhang, Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering". biocViews: CancerData, ReproducibleResearch Author: Tianle Ma Maintainer: Tianle Ma VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HarmonizedTCGAData git_branch: RELEASE_3_18 git_last_commit: 331c38b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HarmonizedTCGAData_1.24.0.tar.gz vignettes: vignettes/HarmonizedTCGAData/inst/doc/HarmonizedTCGAData.html vignetteTitles: Patient Affinity Matrices Derived from Harmonized TCGA Dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HarmonizedTCGAData/inst/doc/HarmonizedTCGAData.R dependencyCount: 95 Package: HCAData Version: 1.18.0 Depends: R (>= 3.6), SingleCellExperiment Imports: ExperimentHub, AnnotationHub, HDF5Array, utils Suggests: knitr, rmarkdown, BiocStyle, scran (>= 1.11.4), BiocSingular, scater, scuttle, Rtsne, igraph, iSEE, testthat License: MIT + file LICENSE MD5sum: 4f16bf5904ca21c0fb0bd6515d7ab4d3 NeedsCompilation: no Title: Accessing The Datasets Of The Human Cell Atlas in R/Bioconductor Description: This package allows a direct access to the dataset generated by the Human Cell Atlas project for further processing in R and Bioconductor, in the comfortable format of SingleCellExperiment objects (available in other formats here: http://preview.data.humancellatlas.org/). biocViews: RNASeqData, SingleCellData, ExperimentData, ExpressionData, ExperimentHub Author: Federico Marini [aut, cre] () Maintainer: Federico Marini URL: https://github.com/federicomarini/HCAData VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/HCAData git_branch: RELEASE_3_18 git_last_commit: 8aa4b68 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HCAData_1.18.0.tar.gz vignettes: vignettes/HCAData/inst/doc/hcadata.html vignetteTitles: Accessing the Human Cell Atlas datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HCAData/inst/doc/hcadata.R dependsOnMe: OSCA.workflows dependencyCount: 111 Package: HCATonsilData Version: 1.0.0 Depends: R (>= 4.3.0) Imports: ExperimentHub, SingleCellExperiment, SpatialExperiment, HDF5Array, SummarizedExperiment, S4Vectors, htmltools, rmarkdown, base64enc, utils Suggests: knitr, ggplot2, testthat (>= 3.0.0), scater, Seurat, Signac, zellkonverter, iSEE, ggspavis, kableExtra, BiocStyle License: MIT + file LICENSE MD5sum: dda9d216f608690d05bd5ffbcb73bb05 NeedsCompilation: no Title: Provide programmatic access to the tonsil cell atlas datasets Description: This package provides access to the scRNA-seq, scATAC-seq, multiome, CITE-seq and spatial transcriptomics (Visium) data generated by the tonsil cell atlas in the context of the Human Cell Atlas (HCA). The data is provided via the Bioconductor project in the form of SingleCellExperiments. Additionally, information on the whole compendium of identified cell types is provided in form of a glossary. biocViews: SingleCellData, ExperimentData, RNASeqData, ExperimentHub, ExpressionData, SpatialData Author: Ramon Massoni-Badosa [aut, cre] (), Federico Marini [aut] (), Alan O'Callaghan [aut], Helena L. Crowell [aut] () Maintainer: Ramon Massoni-Badosa URL: https://github.com/massonix/HCATonsilData VignetteBuilder: knitr BugReports: https://github.com/massonix/HCATonsilData/issues git_url: https://git.bioconductor.org/packages/HCATonsilData git_branch: RELEASE_3_18 git_last_commit: 6f01707 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HCATonsilData_1.0.0.tar.gz vignettes: vignettes/HCATonsilData/inst/doc/HCATonsilData.html vignetteTitles: HCATonsilData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HCATonsilData/inst/doc/HCATonsilData.R dependencyCount: 114 Package: HD2013SGI Version: 1.42.0 Depends: R (>= 2.10.0), RColorBrewer, gplots, geneplotter, splots, limma, vcd, LSD,EBImage Suggests: BiocStyle License: Artistic-2.0 MD5sum: f8c7020a4fbfcb5c4026cea93e5a5bc6 NeedsCompilation: no Title: Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping Description: This package contains the experimental data and a complete executable transcript (vignette) of the analysis of the HCT116 genetic interaction matrix presented in the paper "Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping" by C. Laufer, B. Fischer, M. Billmann, W. Huber, M. Boutros; Nature Methods (2013) 10:427-31. doi: 10.1038/nmeth.2436. biocViews: ExperimentData, CancerData, ColonCancerData, MicrotitrePlateAssayData, CellCulture, Homo_sapiens_Data, HighThroughputImagingData Author: Bernd Fischer Maintainer: Mike Smith SystemRequirements: GNU make git_url: https://git.bioconductor.org/packages/HD2013SGI git_branch: RELEASE_3_18 git_last_commit: 4d9ba1f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HD2013SGI_1.42.0.tar.gz vignettes: vignettes/HD2013SGI/inst/doc/HD2013SGI.pdf vignetteTitles: HD2013SGI hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HD2013SGI/inst/doc/HD2013SGI.R suggestsMe: splots dependencyCount: 89 Package: HDCytoData Version: 1.22.1 Depends: ExperimentHub, SummarizedExperiment, flowCore Imports: utils, methods Suggests: BiocStyle, knitr, rmarkdown, Rtsne, umap, ggplot2, FlowSOM, mclust License: MIT + file LICENSE MD5sum: 7d5c364948f499d34658befe34da06bc NeedsCompilation: no Title: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats Description: Data package containing a set of publicly available high-dimensional cytometry benchmark datasets, formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels (where available), and labels identifying 'spiked in' cells (where available). Column metadata includes channel names, protein marker names, and protein marker classes (cell type or cell state). biocViews: ExperimentHub, ExperimentData, ExpressionData, FlowCytometryData, SingleCellData, Homo_sapiens_Data, ImmunoOncologyData Author: Lukas M. Weber [aut, cre], Charlotte Soneson [aut] Maintainer: Lukas M. Weber URL: https://github.com/lmweber/HDCytoData VignetteBuilder: knitr BugReports: https://github.com/lmweber/HDCytoData/issues git_url: https://git.bioconductor.org/packages/HDCytoData git_branch: RELEASE_3_18 git_last_commit: 45af584 git_last_commit_date: 2024-03-17 Date/Publication: 2024-03-19 source.ver: src/contrib/HDCytoData_1.22.1.tar.gz vignettes: vignettes/HDCytoData/inst/doc/Contribution_guidelines.html, vignettes/HDCytoData/inst/doc/Examples_and_use_cases.html, vignettes/HDCytoData/inst/doc/HDCytoData_package.html vignetteTitles: 3. Contribution guidelines, 2. Examples and use cases, 1. HDCytoData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HDCytoData/inst/doc/Contribution_guidelines.R, vignettes/HDCytoData/inst/doc/Examples_and_use_cases.R, vignettes/HDCytoData/inst/doc/HDCytoData_package.R dependsOnMe: cytofWorkflow suggestsMe: diffcyt dependencyCount: 111 Package: healthyControlsPresenceChecker Version: 1.6.0 Depends: R (>= 4.0.0) Imports: xml2, GEOquery, geneExpressionFromGEO, magrittr Suggests: RUnit, BiocGenerics, markdown, BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 50ba7cea9e361d43c78d64ce1c89ba1a NeedsCompilation: no Title: Dowloads A Gene Expression Dataset From GEO And Checks If It Contains Data Of Healthy Controls Or Not Description: A function that reads in the GEO accession code of a gene expression dataset, retrieves its data from GEO, and checks if data of healthy controls are present in the dataset. It returns true if healthy controls data are found, and false otherwise. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL . biocViews: GEO, RepositoryData, ExpressionData Author: Davide Chicco [aut, cre] () Maintainer: Davide Chicco URL: https://github.com/davidechicco/healthyControlsPresenceChecker VignetteBuilder: knitr BugReports: https://github.com/davidechicco/healthyControlsPresenceChecker/issues git_url: https://git.bioconductor.org/packages/healthyControlsPresenceChecker git_branch: RELEASE_3_18 git_last_commit: 741c131 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/healthyControlsPresenceChecker_1.6.0.tar.gz vignettes: vignettes/healthyControlsPresenceChecker/inst/doc/healthyControlsPresenceChecker.html vignetteTitles: healthyControlsPresenceChecker vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/healthyControlsPresenceChecker/inst/doc/healthyControlsPresenceChecker.R dependencyCount: 82 Package: healthyFlowData Version: 1.40.0 Depends: R (>= 2.15.0), flowCore Imports: methods License: Artistic-2.0 MD5sum: ed0a9c99295e278a8445368a2cb226df NeedsCompilation: no Title: Healthy dataset used by the flowMatch package Description: A healthy dataset with 20 flow cytometry samples used by the flowMatch package. biocViews: FlowCytometryData Author: Ariful Azad Maintainer: Ariful Azad git_url: https://git.bioconductor.org/packages/healthyFlowData git_branch: RELEASE_3_18 git_last_commit: c2360e9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/healthyFlowData_1.40.0.tar.gz vignettes: vignettes/healthyFlowData/inst/doc/healthyFlowData.pdf vignetteTitles: healthyFlowData: A healthy dataset with 20 flow cytometry samples used by the flowMatch package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/healthyFlowData/inst/doc/healthyFlowData.R suggestsMe: flowMatch dependencyCount: 17 Package: HEEBOdata Version: 1.40.0 License: LGPL MD5sum: 885df0689d6663e079e952ea297ee777 NeedsCompilation: no Title: HEEBO set and HEEBO controls. Description: R objects describing the HEEBO oligo set. biocViews: ExperimentData Author: Agnes Paquet Maintainer: Agnes Paquet URL: http://alizadehlab.stanford.edu/ http://arrays.ucsf.edu/ git_url: https://git.bioconductor.org/packages/HEEBOdata git_branch: RELEASE_3_18 git_last_commit: e636e71 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HEEBOdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: HelloRangesData Version: 1.28.0 Suggests: BiocStyle License: GPL (>= 2) MD5sum: 6ae6ac65f3af7f41136eb6fb3558eb2a NeedsCompilation: no Title: Data for the HelloRanges tutorial vignette Description: Provides the data that were used in the bedtools tutorial by Aaron Quinlan (http://quinlanlab.org/tutorials/bedtools/bedtools.html). Includes a subset of the DnaseI hypersensitivity data from "Maurano et al. Systematic Localization of Common Disease-Associated Variation in Regulatory DNA. Science. 2012. Vol. 337 no. 6099 pp. 1190-1195." The rest of the tracks were originally downloaded from the UCSC table browser. See the HelloRanges vignette for a port of the bedtools tutorial to R. biocViews: ExperimentData, SequencingData Author: Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/HelloRangesData git_branch: RELEASE_3_18 git_last_commit: df2a164 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HelloRangesData_1.28.0.tar.gz vignettes: vignettes/HelloRangesData/inst/doc/intro.pdf vignetteTitles: HelloRanges Example Data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HelloRangesData/inst/doc/intro.R suggestsMe: HelloRanges, plyranges dependencyCount: 0 Package: hgu133abarcodevecs Version: 1.40.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 4a6ec67e649f7ca004242fd860f79521 NeedsCompilation: no Title: hgu133a data for barcode Description: Data used by the barcode package for microarrays of type hgu133a. biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/hgu133abarcodevecs git_branch: RELEASE_3_18 git_last_commit: 3700800 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hgu133abarcodevecs_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2barcodevecs Version: 1.40.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 624bad8617d806474bc9406dc3c22384 NeedsCompilation: no Title: hgu133plus2 data for barcode Description: Data used by the barcode package for microarrays of type hgu133plus2. biocViews: Homo_sapiens_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/hgu133plus2barcodevecs git_branch: RELEASE_3_18 git_last_commit: 3182f63 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hgu133plus2barcodevecs_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: hgu133plus2CellScore Version: 1.22.0 Depends: R (>= 3.5.0) Imports: Biobase (>= 2.39.1) Suggests: knitr License: GPL-3 MD5sum: 486b7084ad0056c1031545af9c6dd515 NeedsCompilation: no Title: CellScore Standard Cell Types Expression Dataset [hgu133plus2] Description: The CellScore Standard Dataset contains expression data from a wide variety of human cells and tissues, which should be used as standard cell types in the calculation of the CellScore. All data was curated from public databases such as Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) or ArrayExpress (https://www.ebi.ac.uk/arrayexpress/). This standard dataset only contains data from the Affymetrix GeneChip Human Genome U133 Plus 2.0 microarrays. Samples were manually annotated using the database information or consulting the publications in which the datasets originated. The sample annotations are stored in the phenoData slot of the expressionSet object. Raw data (CEL files) were processed with the affy package to generate present/absent calls (mas5calls) and background-subtracted values, which were then normalized by the R-package yugene to yield the final expression values for the standard expression matrix. The annotation table for the microarray was retrieved from the BioC annotation package hgu133plus2. All data are stored in an expressionSet object. biocViews: ExpressionData, MicroarrayData, GEO, ExperimentData, Homo_sapiens_Data, Genome, ArrayExpress Author: Nancy Mah, Katerina Taskova Maintainer: Nancy Mah VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/hgu133plus2CellScore git_branch: RELEASE_3_18 git_last_commit: 8e34b0c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hgu133plus2CellScore_1.22.0.tar.gz vignettes: vignettes/hgu133plus2CellScore/inst/doc/hgu133plus2Vignette.pdf vignetteTitles: R packages: hgu133plus2CellScore hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/hgu133plus2CellScore/inst/doc/hgu133plus2Vignette.R suggestsMe: CellScore dependencyCount: 6 Package: hgu2beta7 Version: 1.42.0 Depends: R (>= 2.0.0) License: Artistic-2.0 MD5sum: 0643f49d27bf1dd6b73fb9192b23ebaa NeedsCompilation: no Title: A data package containing annotation data for hgu2beta7 Description: Annotation data file for hgu2beta7 assembled using data from public data repositories biocViews: Genome Author: Chenwei Lin Maintainer: Bioconductor Package Maintainer git_url: https://git.bioconductor.org/packages/hgu2beta7 git_branch: RELEASE_3_18 git_last_commit: 04e83dd git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/hgu2beta7_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HiBED Version: 1.0.0 Depends: R (>= 3.5.0) Imports: dplyr, FlowSorted.Blood.EPIC, tibble, FlowSorted.DLPFC.450k, minfi, utils, AnnotationHub, SummarizedExperiment Suggests: knitr, rmarkdown, testthat, IlluminaHumanMethylation450kmanifest License: GPL-3 MD5sum: 282aec6967013cdaa790ff191e4139b4 NeedsCompilation: no Title: HiBED Description: Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation. The HiBED deconvolution estimates proportions up to 7 cell types (GABAergic neurons, glutamatergic neurons, astrocytes, microglial cells, oligodendrocytes, endothelial cells, and stromal cells) in bulk brain tissues. biocViews: ExperimentData, Homo_sapiens_Data, Tissue, MicroarrayData, Genome, MethylationArrayData, PackageTypeData Author: Ze Zhang [cre, aut] (), Lucas A. Salas [aut] Maintainer: Ze Zhang URL: https://github.com/SalasLab/HiBED VignetteBuilder: knitr BugReports: https://github.com/SalasLab/HiBED/issues. git_url: https://git.bioconductor.org/packages/HiBED git_branch: RELEASE_3_18 git_last_commit: d40c2bc git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HiBED_1.0.0.tar.gz vignettes: vignettes/HiBED/inst/doc/HiBED.html vignetteTitles: HiBED hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiBED/inst/doc/HiBED.R dependencyCount: 174 Package: HiCDataHumanIMR90 Version: 1.22.0 Depends: R (>= 3.5.0) Suggests: HiTC License: GPL-3 MD5sum: 02854f68384130b0bcd3d0f84d94b856 NeedsCompilation: no Title: Human IMR90 Fibroblast HiC data from Dixon et al. 2012 Description: The HiC data from Human Fibroblast IMR90 cell line (HindIII restriction) was retrieved from the GEO website, accession number GSE35156 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE35156). The raw reads were processed as explained in Dixon et al. (Nature 2012). biocViews: ExperimentData, Genome, Homo_sapiens_Data, GEO Author: Nicolas Servant Maintainer: Nicolas Servant git_url: https://git.bioconductor.org/packages/HiCDataHumanIMR90 git_branch: RELEASE_3_18 git_last_commit: 594e14e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HiCDataHumanIMR90_1.22.0.tar.gz vignettes: vignettes/HiCDataHumanIMR90/inst/doc/HiC_Human_IMR90.pdf vignetteTitles: HiC Data Human Fibroblast Dixon et al. 2012 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiCDataHumanIMR90/inst/doc/HiC_Human_IMR90.R suggestsMe: HiTC dependencyCount: 0 Package: HiCDataLymphoblast Version: 1.38.0 Suggests: ShortRead License: GPL-3 MD5sum: 4e51d696b30a37414375e6987c7ab59c NeedsCompilation: no Title: Human lymphoblastoid HiC data from Lieberman-Aiden et al. 2009 Description: The HiC data from human lymphoblastoid cell line (HindIII restriction) was retrieved from the sequence read archive and two ends of the paired reads were aligned separately with bowtie. biocViews: ExperimentData, Homo_sapiens_Data Author: Borbala Mifsud Maintainer: Borbala Mifsud git_url: https://git.bioconductor.org/packages/HiCDataLymphoblast git_branch: RELEASE_3_18 git_last_commit: ea46ff5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HiCDataLymphoblast_1.38.0.tar.gz vignettes: vignettes/HiCDataLymphoblast/inst/doc/package_vignettes.pdf vignetteTitles: package_vignettes.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HiCDataLymphoblast/inst/doc/package_vignettes.R suggestsMe: GOTHiC dependencyCount: 0 Package: HiContactsData Version: 1.4.0 Depends: ExperimentHub Imports: BiocFileCache, AnnotationHub Suggests: testthat, methods, BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: bcd518f48342168f7a814a442cf9564c NeedsCompilation: no Title: HiContacts companion data package Description: Provides a collection of Hi-C files (pairs, (m)cool and fastq). These datasets can be read into R and further investigated and visualized with the HiContacts package. Data includes yeast Hi-C data generated by the Koszul lab from the Pasteur Institute. biocViews: ExperimentHub, ExperimentData, SequencingData Author: Jacques Serizay [aut, cre] Maintainer: Jacques Serizay URL: https://github.com/js2264/HiContactsData VignetteBuilder: knitr BugReports: https://github.com/js2264/HiContactsData/issues git_url: https://git.bioconductor.org/packages/HiContactsData git_branch: RELEASE_3_18 git_last_commit: bdbf115 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HiContactsData_1.4.0.tar.gz vignettes: vignettes/HiContactsData/inst/doc/HiContactsData.html vignetteTitles: HiContactsData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HiContactsData/inst/doc/HiContactsData.R suggestsMe: HiCExperiment, HiContacts, HiCool, plyinteractions dependencyCount: 95 Package: HighlyReplicatedRNASeq Version: 1.14.0 Depends: SummarizedExperiment, ExperimentHub Imports: S4Vectors Suggests: BiocStyle, BiocFileCache, knitr, rmarkdown License: MIT + file LICENSE MD5sum: a397cddffb2dfea70943930b992ea7c0 NeedsCompilation: no Title: Collection of Bulk RNA-Seq Experiments With Many Replicates Description: Gene-level count matrix data for bulk RNA-seq dataset with many replicates. The data are provided as easy to use SummarizedExperiment objects. The source data that is made accessible through this package comes from https://github.com/bartongroup/profDGE48. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData Author: Constantin Ahlmann-Eltze [aut, cre] () Maintainer: Constantin Ahlmann-Eltze URL: https://github.com/const-ae/HighlyReplicatedRNASeq VignetteBuilder: knitr BugReports: https://github.com/const-ae/HighlyReplicatedRNASeq/issues git_url: https://git.bioconductor.org/packages/HighlyReplicatedRNASeq git_branch: RELEASE_3_18 git_last_commit: 1dd0c87 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HighlyReplicatedRNASeq_1.14.0.tar.gz vignettes: vignettes/HighlyReplicatedRNASeq/inst/doc/HighlyReplicatedRNASeq.html vignetteTitles: Exploring the 86 bulk RNA-seq samples from the Schurch et al. (2016) study hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HighlyReplicatedRNASeq/inst/doc/HighlyReplicatedRNASeq.R dependencyCount: 106 Package: Hiiragi2013 Version: 1.38.0 Depends: R (>= 3.0.0), affy, Biobase, boot, clue, cluster, genefilter, geneplotter, gplots, gtools, KEGGREST, MASS, mouse4302.db, RColorBrewer, xtable Imports: grid, lattice, latticeExtra Suggests: ArrayExpress, BiocStyle License: Artistic-2.0 MD5sum: dde13f333fe218976f71b626ed5eefa4 NeedsCompilation: no Title: Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages Description: This package contains the experimental data and a complete executable transcript (vignette) of the statistical analysis presented in the paper "Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages" by Y. Ohnishi, W. Huber, A. Tsumura, M. Kang, P. Xenopoulos, K. Kurimoto, A. K. Oles, M. J. Arauzo-Bravo, M. Saitou, A.-K. Hadjantonakis and T. Hiiragi; Nature Cell Biology (2014) 16(1): 27-37. doi: 10.1038/ncb2881." biocViews: ExperimentData, MicroarrayData, qPCRData, ReproducibleResearch Author: Andrzej Oles, Wolfgang Huber Maintainer: Andrzej Oles git_url: https://git.bioconductor.org/packages/Hiiragi2013 git_branch: RELEASE_3_18 git_last_commit: 12aa587 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Hiiragi2013_1.38.0.tar.gz vignettes: vignettes/Hiiragi2013/inst/doc/Hiiragi2013.pdf vignetteTitles: Hiiragi2013 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Hiiragi2013/inst/doc/Hiiragi2013.R dependencyCount: 79 Package: HIVcDNAvantWout03 Version: 1.42.0 License: GPL (>= 2) MD5sum: 4936f53bb66cdf1983a8bcbcd667a188 NeedsCompilation: no Title: T cell line infections with HIV-1 LAI (BRU) Description: The expression levels of approximately 4600 cellular RNA transcripts were assessed in CD4+ T cell lines at different times after infection with HIV-1BRU using DNA microarrays. This data corresponds to the first block of a 12 block array image (001030_08_1.GEL) in the first data set (2000095918 A) in the first experiment (CEM LAI vs HI-LAI 24hr). There are two data sets, which are part of a dye-swap experiment with replicates, representing the Cy3 (green) absorption intensities for channel 1 (hiv1raw) and the Cy5 (red) absorption intensities for channel 2 (hiv2raw). biocViews: ExperimentData, MicroarrayData, TwoChannelData, HIVData Author: Dr. Angelique van't Wout, Department of Microbiology, University of Washington Maintainer: Chris Fraley URL: http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html git_url: https://git.bioconductor.org/packages/HIVcDNAvantWout03 git_branch: RELEASE_3_18 git_last_commit: f5b3146 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HIVcDNAvantWout03_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: HMP16SData Version: 1.22.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, assertthat, dplyr, kableExtra, knitr, magrittr, methods, readr, stringr, tibble, utils Suggests: Biobase, BiocCheck, BiocManager, BiocStyle, circlize, cowplot, dendextend, devtools, ggplot2, gridExtra, haven, phyloseq, rmarkdown, roxygen2, stats, testthat, tidyr License: Artistic-2.0 MD5sum: a137f917000e15acffca9bb0baac8fbb NeedsCompilation: no Title: 16S rRNA Sequencing Data from the Human Microbiome Project Description: HMP16SData is a Bioconductor ExperimentData package of the Human Microbiome Project (HMP) 16S rRNA sequencing data for variable regions 1–3 and 3–5. Raw data files are provided in the package as downloaded from the HMP Data Analysis and Coordination Center. Processed data is provided as SummarizedExperiment class objects via ExperimentHub. biocViews: ExperimentData, ExperimentHub, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch, SequencingData Author: Lucas schiffer [aut, cre] (), Rimsha Azhar [aut], Marcel Ramos [ctb], Ludwig Geistlinger [ctb], Levi Waldron [aut] Maintainer: Lucas schiffer URL: https://github.com/waldronlab/HMP16SData VignetteBuilder: knitr BugReports: https://github.com/waldronlab/HMP16SData/issues git_url: https://git.bioconductor.org/packages/HMP16SData git_branch: RELEASE_3_18 git_last_commit: 1437bc5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HMP16SData_1.22.0.tar.gz vignettes: vignettes/HMP16SData/inst/doc/HMP16SData.html vignetteTitles: HMP16SData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HMP16SData/inst/doc/HMP16SData.R dependencyCount: 126 Package: HMP2Data Version: 1.16.0 Depends: R (>= 3.6.0) Imports: AnnotationHub, assertthat, dplyr, ExperimentHub, kableExtra, knitr, magrittr, methods, readr, S4Vectors, SummarizedExperiment, phyloseq, MultiAssayExperiment, data.table Suggests: Biobase, BiocCheck, BiocManager, BiocStyle, cowplot, devtools, ggplot2, gridExtra, haven, rmarkdown, roxygen2, stats, testthat, tibble, UpSetR License: Artistic-2.0 MD5sum: f334416386d2c1af677494e1fd5743d6 NeedsCompilation: no Title: 16s rRNA sequencing data from the Human Microbiome Project 2 Description: HMP2Data is a Bioconductor package of the Human Microbiome Project 2 (HMP2) 16S rRNA sequencing data. Processed data is provided as phyloseq, SummarizedExperiment, and MultiAssayExperiment class objects. Individual matrices and data.frames used for building these S4 class objects are also provided in the package. biocViews: ExperimentData, Homo_sapiens_Data, MicrobiomeData, ReproducibleResearch, SequencingData Author: John Stansfield , Ekaterina Smirnova , Ni Zhao , Jennifer Fettweis , Levi Waldron , Mikhail Dozmorov Maintainer: John Stansfield , Ekaterina Smirnova URL: https://github.com/jstansfield0/HMP2Data VignetteBuilder: knitr BugReports: https://github.com/jstansfield0/HMP2Data/issues git_url: https://git.bioconductor.org/packages/HMP2Data git_branch: RELEASE_3_18 git_last_commit: dcdd7d8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HMP2Data_1.16.0.tar.gz vignettes: vignettes/HMP2Data/inst/doc/hmp2data.html vignetteTitles: HMP2Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/HMP2Data/inst/doc/hmp2data.R dependencyCount: 158 Package: HSMMSingleCell Version: 1.22.0 Depends: R (>= 2.10) License: Artistic-2.0 MD5sum: dae440cd20110d25cd699a9a792ac4b8 NeedsCompilation: no Title: Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM) Description: Skeletal myoblasts undergo a well-characterized sequence of morphological and transcriptional changes during differentiation. In this experiment, primary human skeletal muscle myoblasts (HSMM) were expanded under high mitogen conditions (GM) and then differentiated by switching to low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several hundred cells taken over a time-course of serum-induced differentiation. Between 49 and 77 cells were captured at each of four time points (0, 24, 48, 72 hours) following serum switch using the Fluidigm C1 microfluidic system. RNA from each cell was isolated and used to construct mRNA-Seq libraries, which were then sequenced to a depth of ~4 million reads per library, resulting in a complete gene expression profile for each cell. biocViews: ExperimentData, RNASeqData Author: Cole Trapnell Maintainer: Cole Trapnell git_url: https://git.bioconductor.org/packages/HSMMSingleCell git_branch: RELEASE_3_18 git_last_commit: 2e54e3d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HSMMSingleCell_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: monocle dependencyCount: 0 Package: HumanAffyData Version: 1.28.0 Depends: ExperimentHub, Biobase, R (>= 3.3) Suggests: BiocStyle License: Artistic-2.0 MD5sum: 11341e772169b7141b9bd22161e14417 NeedsCompilation: no Title: GEO accession GSE64985 and ArrayExpress accession E-MTAB-62 as ExpressionSet objects Description: Re-analysis of human gene expression data generated on the Affymetrix HG_U133PlusV2 (EH176) and Affymetrix HG_U133A (EH177) platforms. The original data were normalized using robust multiarray averaging (RMA) to obtain an integrated gene expression atlas across diverse biological sample types and conditions. The entire compendia comprisee 9395 arrays for EH176 and 5372 arrays for EH177. biocViews: ExperimentData, GEO, ArrayExpress, Homo_sapiens_Data, MicroarrayData, ExpressionData Author: Brad Nelms Maintainer: Brad Nelms git_url: https://git.bioconductor.org/packages/HumanAffyData git_branch: RELEASE_3_18 git_last_commit: 5ea6eac git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/HumanAffyData_1.28.0.tar.gz vignettes: vignettes/HumanAffyData/inst/doc/HumanAffyData.pdf vignetteTitles: Intro to the HumanAffyData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/HumanAffyData/inst/doc/HumanAffyData.R suggestsMe: CellMapper dependencyCount: 95 Package: humanStemCell Version: 0.42.0 Depends: Biobase (>= 2.5.5), hgu133plus2.db License: Artistic-2.0 MD5sum: be6367d8fa19187d644247ed8795eb0e NeedsCompilation: no Title: Human Stem Cells time course experiment Description: Affymetrix time course experiment on human stem cells (two time points: undifferentiated and differentiated). biocViews: ExperimentData, Homo_sapiens_Data Author: R. Gentleman, N. Le Meur, M. Tewari Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/humanStemCell git_branch: RELEASE_3_18 git_last_commit: 9c65ba5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/humanStemCell_0.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MiRaGE, rtracklayer dependencyCount: 48 Package: IHWpaper Version: 1.30.0 Depends: R (>= 3.3), IHW Imports: Rcpp, stats, splines, methods, utils, DESeq2, SummarizedExperiment, fdrtool, genefilter, qvalue, Biobase, BiocGenerics, BiocParallel, dplyr, grid, ggplot2, cowplot LinkingTo: Rcpp Suggests: testthat, RColorBrewer, wesanderson, scales, gridExtra, BiocStyle, knitr, rmarkdown, airway, locfdr, tidyr, latex2exp License: Artistic-2.0 MD5sum: 21e65d900bf8e6015fd006fbf01237d5 NeedsCompilation: yes Title: Reproduce figures in IHW paper Description: This package conveniently wraps all functions needed to reproduce the figures in the IHW paper (https://www.nature.com/articles/nmeth.3885) and the data analysis in https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12411, cf. the arXiv preprint (http://arxiv.org/abs/1701.05179). Thus it is a companion package to the Bioconductor IHW package. biocViews: ReproducibleResearch, ExperimentData, RNASeqData, ExpressionData Author: Nikos Ignatiadis [aut, cre] Maintainer: Nikos Ignatiadis VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/IHWpaper git_branch: RELEASE_3_18 git_last_commit: bba1a51 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/IHWpaper_1.30.0.tar.gz vignettes: vignettes/IHWpaper/inst/doc/BH-explanation.html, vignettes/IHWpaper/inst/doc/explaining_tdr.html, vignettes/IHWpaper/inst/doc/grenander_vs_ecdf.html, vignettes/IHWpaper/inst/doc/hqtl_IHW_BY.html, vignettes/IHWpaper/inst/doc/IHW_bonferroni_simulations.html, vignettes/IHWpaper/inst/doc/real_data_examples_single_curve.html, vignettes/IHWpaper/inst/doc/real_data_examples.html, vignettes/IHWpaper/inst/doc/simulations_vignette.html, vignettes/IHWpaper/inst/doc/stratified_histograms.html, vignettes/IHWpaper/inst/doc/tdr_pvalue_rejection_thresholds.html, vignettes/IHWpaper/inst/doc/weights_vs_filtering.html vignetteTitles: "Various: BH explanation / visualization", "NMeth paper: Explaining tdr", "Various: Grenander Estimator as applied to IHW (vs ECDF)", "Stats paper: hQTL analysis with IHW-Benjamini-Yekutieli", "NMeth paper: IHW-Bonferroni simulations", "Various: Real data examples: 1-fold weight function", "NMeth paper: Real data examples", "NMeth paper: Simulation Figures", "NMeth paper: Stratified Histograms", "Various: tdr and pvalue rejection regions", "Various: Weights vs Independent Filtering" hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/IHWpaper/inst/doc/BH-explanation.R, vignettes/IHWpaper/inst/doc/explaining_tdr.R, vignettes/IHWpaper/inst/doc/grenander_vs_ecdf.R, vignettes/IHWpaper/inst/doc/hqtl_IHW_BY.R, vignettes/IHWpaper/inst/doc/IHW_bonferroni_simulations.R, vignettes/IHWpaper/inst/doc/real_data_examples_single_curve.R, vignettes/IHWpaper/inst/doc/real_data_examples.R, vignettes/IHWpaper/inst/doc/simulations_vignette.R, vignettes/IHWpaper/inst/doc/stratified_histograms.R, vignettes/IHWpaper/inst/doc/tdr_pvalue_rejection_thresholds.R, vignettes/IHWpaper/inst/doc/weights_vs_filtering.R dependencyCount: 108 Package: Illumina450ProbeVariants.db Version: 1.38.0 Depends: R (>= 3.0.1) License: GPL-3 MD5sum: ca34eec73a57e5f226b70a20ef706ee3 NeedsCompilation: no Title: Annotation Package combining variant data from 1000 Genomes Project for Illumina HumanMethylation450 Bead Chip probes Description: Includes details on variants for each probe on the 450k bead chip for each of the four populations (Asian, American, African and European) biocViews: Homo_sapiens_Data, CancerData, ChipOnChipData, SNPData Author: Lee Butcher Maintainer: Tiffany Morris git_url: https://git.bioconductor.org/packages/Illumina450ProbeVariants.db git_branch: RELEASE_3_18 git_last_commit: c087103 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Illumina450ProbeVariants.db_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: IlluminaDataTestFiles Version: 1.40.0 License: Artistic-2.0 MD5sum: 3afa4b143fbb1dd18b3a7acd8f2984b1 NeedsCompilation: no Title: Illumina microarray files (IDAT) for testing Description: Example data for Illumina microarray output files, for testing purposes biocViews: MicroarrayData Author: Kasper Daniel Hansen, Mike L. Smith Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/IlluminaDataTestFiles git_branch: RELEASE_3_18 git_last_commit: 3aa7377 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/IlluminaDataTestFiles_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: illuminaio dependencyCount: 0 Package: imcdatasets Version: 1.10.0 Depends: R (>= 4.3.0), SingleCellExperiment, SpatialExperiment, cytomapper, Imports: methods, utils, ExperimentHub, S4Vectors, DelayedArray, HDF5Array Suggests: BiocStyle, knitr, rmarkdown, markdown, testthat License: GPL-3 + file LICENSE MD5sum: 6e687f10502d7d9d369c384e99977953 NeedsCompilation: no Title: Collection of publicly available imaging mass cytometry (IMC) datasets Description: The imcdatasets package provides access to publicly available IMC datasets. IMC is a technology that enables measurement of > 40 proteins from tissue sections. The generated images can be segmented to extract single cell data. Datasets typically consist of three elements: a SingleCellExperiment object containing single cell data, a CytoImageList object containing multichannel images and a CytoImageList object containing the cell masks that were used to extract the single cell data from the images. biocViews: ExperimentData, ExperimentHub, SingleCellData, SpatialData, Homo_sapiens_Data, ImmunoOncologyData, TechnologyData, PackageTypeData, ReproducibleResearch, Tissue Author: Nicolas Damond [aut, cre] (), Nils Eling [ctb] (), Fischer Jana [ctb] () Maintainer: Nicolas Damond URL: https://github.com/BodenmillerGroup/imcdatasets VignetteBuilder: knitr BugReports: https://github.com/BodenmillerGroup/imcdatasets/issues git_url: https://git.bioconductor.org/packages/imcdatasets git_branch: RELEASE_3_18 git_last_commit: 6a4d152 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/imcdatasets_1.10.0.tar.gz vignettes: vignettes/imcdatasets/inst/doc/Guidelines_Contribution_Dataset-formatting.html, vignettes/imcdatasets/inst/doc/imcdatasets.html vignetteTitles: "Contributing guidelines and datasets format", "Accessing IMC datasets" hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/imcdatasets/inst/doc/Guidelines_Contribution_Dataset-formatting.R, vignettes/imcdatasets/inst/doc/imcdatasets.R dependencyCount: 156 Package: ITALICSData Version: 2.40.0 Depends: R (>= 2.0.0) License: GPL MD5sum: e154526c43e11840acfd4c92ff1cee8f NeedsCompilation: no Title: ITALICSData Description: Data needed to use the ITALICS package biocViews: ExperimentData, HapMap Author: Guillem Rigaill Maintainer: Guillem Rigaill URL: http://bioinfo.curie.fr git_url: https://git.bioconductor.org/packages/ITALICSData git_branch: RELEASE_3_18 git_last_commit: 90cbb17 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ITALICSData_2.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: ITALICS dependencyCount: 0 Package: Iyer517 Version: 1.44.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: 81226f1ad5acd16cff4c7371f37d1881 NeedsCompilation: no Title: exprSets for Iyer, Eisen et all 1999 Science paper Description: representation of public Iyer data from http://genome-www.stanford.edu/serum/clusters.html biocViews: ExperimentData Author: Vishy Iyer Maintainer: Vince Carey git_url: https://git.bioconductor.org/packages/Iyer517 git_branch: RELEASE_3_18 git_last_commit: 79647a5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Iyer517_1.44.0.tar.gz vignettes: vignettes/Iyer517/inst/doc/Iyer517.pdf vignetteTitles: Iyer517 hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Iyer517/inst/doc/Iyer517.R dependencyCount: 6 Package: JASPAR2014 Version: 1.38.0 Depends: R (>= 3.0.1), methods, Biostrings (>= 2.29.19) License: GPL-2 MD5sum: 6ef536411db46944f6d5b9a23ee13be6 NeedsCompilation: no Title: Data package for JASPAR Description: Data package for JASPAR 2014. To search this databases, please use the package TFBSTools. biocViews: ExperimentData, SequencingData Author: Ge Tan Maintainer: Ge Tan URL: http://jaspar.genereg.net/ git_url: https://git.bioconductor.org/packages/JASPAR2014 git_branch: RELEASE_3_18 git_last_commit: a29c998 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/JASPAR2014_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MatrixRider, TFBSTools dependencyCount: 18 Package: JASPAR2016 Version: 1.30.0 Depends: R (>= 3.2.2), methods License: GPL-2 MD5sum: 2976e4678291944f664396385049180b NeedsCompilation: no Title: Data package for JASPAR 2016 Description: Data package for JASPAR 2016. To search this databases, please use the package TFBSTools (>= 1.8.1). biocViews: ExperimentData, MotifAnnotation, GeneRegulation Author: Ge Tan Maintainer: Ge Tan URL: http://jaspar.genereg.net/ git_url: https://git.bioconductor.org/packages/JASPAR2016 git_branch: RELEASE_3_18 git_last_commit: a363481 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/JASPAR2016_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: ATACCoGAPS suggestsMe: chromVAR, TFBSTools, CAGEWorkflow dependencyCount: 1 Package: KEGGandMetacoreDzPathwaysGEO Version: 1.22.0 Depends: R (>= 2.15.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: 3a5180de47f1c28949b77db9f79b44ed NeedsCompilation: no Title: Disease Datasets from GEO Description: This is a collection of 18 data sets for which the phenotype is a disease with a corresponding pathway in either KEGG or metacore database.This collection of datasets were used as gold standard in comparing gene set analysis methods. biocViews: ExperimentData, GEO Author: Gaurav Bhatti Maintainer: Gaurav Bhatti git_url: https://git.bioconductor.org/packages/KEGGandMetacoreDzPathwaysGEO git_branch: RELEASE_3_18 git_last_commit: 450757a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/KEGGandMetacoreDzPathwaysGEO_1.22.0.tar.gz vignettes: vignettes/KEGGandMetacoreDzPathwaysGEO/inst/doc/KEGGandMetacoreDzPathwaysGEO.pdf vignetteTitles: KEGGandMetacoreDzPathwaysGEO Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/KEGGandMetacoreDzPathwaysGEO/inst/doc/KEGGandMetacoreDzPathwaysGEO.R importsMe: GSEABenchmarkeR dependencyCount: 6 Package: KEGGdzPathwaysGEO Version: 1.40.0 Depends: R (>= 2.13.0) Imports: Biobase, BiocGenerics License: GPL-2 MD5sum: 2f30f9ac05c04214d25a9d49fb4ce8bd NeedsCompilation: no Title: KEGG Disease Datasets from GEO Description: This is a collection of 24 data sets for which the phenotype is a disease with a corresponding pathway in the KEGG database.This collection of datasets were used as gold standard in comparing gene set analysis methods by the PADOG package. biocViews: MicroarrayData, GEO, ExperimentData Author: Gaurav Bhatti, Adi L. Tarca Maintainer: Gaurav Bhatti git_url: https://git.bioconductor.org/packages/KEGGdzPathwaysGEO git_branch: RELEASE_3_18 git_last_commit: 578b101 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/KEGGdzPathwaysGEO_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: PADOG importsMe: GSEABenchmarkeR dependencyCount: 6 Package: kidpack Version: 1.44.0 Depends: R (>= 2.6.0), Biobase (>= 2.5.5) License: GPL-2 MD5sum: 26f5ad5fba1c63156e282d8eac7ac385 NeedsCompilation: no Title: DKFZ kidney package Description: kidney microarray data biocViews: ExperimentData, CancerData, KidneyCancerData, MicroarrayData, ArrayExpress Author: Wolfgang Huber Maintainer: Wolfgang Huber URL: http://www.dkfz.de/mga git_url: https://git.bioconductor.org/packages/kidpack git_branch: RELEASE_3_18 git_last_commit: 3144e6c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/kidpack_1.44.0.tar.gz vignettes: vignettes/kidpack/inst/doc/kidpack.pdf vignetteTitles: kidpack - overview over the DKFZ kidney data package hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/kidpack/inst/doc/kidpack.R dependencyCount: 6 Package: KOdata Version: 1.28.0 Depends: R (>= 3.3.0) License: MIT + file LICENSE MD5sum: 40e099053eae889ad66256a94427ac54 NeedsCompilation: no Title: LINCS Knock-Out Data Package Description: Contains consensus genomic signatures (CGS) for experimental cell-line specific gene knock-outs as well as baseline gene expression data for a subset of experimental cell-lines. Intended for use with package KEGGlincs. biocViews: ExpressionData, CancerData, Homo_sapiens_Data Author: Shana White Maintainer: Shana White git_url: https://git.bioconductor.org/packages/KOdata git_branch: RELEASE_3_18 git_last_commit: 4141272 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/KOdata_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: KEGGlincs dependencyCount: 0 Package: leeBamViews Version: 1.38.0 Depends: R (>= 2.15.0), Biobase, Rsamtools (>= 0.1.50), BSgenome Imports: GenomicRanges, GenomicAlignments, methods, S4Vectors, parallel, IRanges Suggests: biomaRt, org.Sc.sgd.db, edgeR License: Artistic 2.0 MD5sum: 58f7c7fdbb1f949f48924ac79d31b580 NeedsCompilation: no Title: leeBamViews -- multiple yeast RNAseq samples excerpted from Lee 2009 Description: data from PMID 19096707; prototype for managing multiple NGS samples biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData, SNPData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/leeBamViews git_branch: RELEASE_3_18 git_last_commit: 98ea87d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/leeBamViews_1.38.0.tar.gz vignettes: vignettes/leeBamViews/inst/doc/leeViews.pdf vignetteTitles: managing multiple NGS samples with bamViews hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/leeBamViews/inst/doc/leeViews.R suggestsMe: EDASeq dependencyCount: 50 Package: leukemiasEset Version: 1.38.0 Depends: R (>= 2.10.1), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: f9e8274856b0d78de6da7ec0bce171f5 NeedsCompilation: no Title: Leukemia's microarray gene expression data (expressionSet). Description: Expressionset containing gene expresion data from 60 bone marrow samples of patients with one of the four main types of leukemia (ALL, AML, CLL, CML) or non-leukemia. biocViews: Tissue, Genome, Homo_sapiens_Data, CancerData, LeukemiaCancerData, MicroarrayData, ChipOnChipData, TissueMicroarrayData, GEO Author: Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain. Maintainer: Sara Aibar git_url: https://git.bioconductor.org/packages/leukemiasEset git_branch: RELEASE_3_18 git_last_commit: a520d9f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/leukemiasEset_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: geNetClassifier, mCSEA, multiclassPairs dependencyCount: 6 Package: LiebermanAidenHiC2009 Version: 0.40.0 Depends: KernSmooth, IRanges License: LGPL MD5sum: 34818101f902d251b339864716cd2d1a NeedsCompilation: no Title: Selected data from the HiC paper of E. Lieberman-Aiden et al. in Science (2009) Description: This package provides data that were presented in the article "Comprehensive mapping of long-range interactions reveals folding principles of the human genome", Science 2009 Oct 9;326(5950):289-93. PMID: 19815776 biocViews: ExperimentData, Genome, SequencingData, DNASeqData, ChIPSeqData, miRNAData, SmallRNAData, ChipOnChipData, GEO, NCI, ENCODE Author: Wolfgang Huber, Felix Klein Maintainer: Felix Klein git_url: https://git.bioconductor.org/packages/LiebermanAidenHiC2009 git_branch: RELEASE_3_18 git_last_commit: b1733c6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/LiebermanAidenHiC2009_0.40.0.tar.gz vignettes: vignettes/LiebermanAidenHiC2009/inst/doc/LiebermanAidenHiC2009.pdf vignetteTitles: Exploration of HiC data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/LiebermanAidenHiC2009/inst/doc/LiebermanAidenHiC2009.R dependencyCount: 9 Package: ListerEtAlBSseq Version: 1.34.0 Depends: R (>= 3.1.1), methylPipe Suggests: BSgenome.Hsapiens.UCSC.hg18 License: Artistic 2.0 MD5sum: 302e026ae021a5f26c149b5086569db1 NeedsCompilation: no Title: BS-seq data of H1 and IMR90 cell line excerpted from Lister et al. 2009 Description: Base resolution bisulfite sequencing data of Human DNA methylomes biocViews: ExperimentData, Homo_sapiens_Data, SequencingData Author: Mattia Pelizzola [aut], Kamal Kishore [aut], Mattia Furlan [ctb, cre] Maintainer: Mattia Furlan git_url: https://git.bioconductor.org/packages/ListerEtAlBSseq git_branch: RELEASE_3_18 git_last_commit: 136e952 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ListerEtAlBSseq_1.34.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 163 Package: LRcellTypeMarkers Version: 1.10.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: LRcell, BiocStyle, knitr, rmarkdown, roxygen2, testthat License: MIT + file LICENSE MD5sum: f5731667b56b631291d22a830d212f04 NeedsCompilation: no Title: Marker gene information for LRcell R Bioconductor package Description: This is an external ExperimentData package for LRcell. This data package contains the gene enrichment scores calculated from scRNA-seq dataset which indicates the gene enrichment of each cell type in certain brain region. LRcell package is used to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. For more details, please visit: https://github.com/marvinquiet/LRcell. biocViews: ExperimentData, ExperimentHub, RNASeqData, SingleCellData, ExpressionData, PackageTypeData Author: Wenjing Ma [cre, aut] () Maintainer: Wenjing Ma VignetteBuilder: knitr BugReports: https://github.com/marvinquiet/LRcellTypeMarkers/issues git_url: https://git.bioconductor.org/packages/LRcellTypeMarkers git_branch: RELEASE_3_18 git_last_commit: cede01c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/LRcellTypeMarkers_1.10.0.tar.gz vignettes: vignettes/LRcellTypeMarkers/inst/doc/LRcellTypeMarkers-vignette.html vignetteTitles: LRcellTypeMarkers: Marker gene information for LRcell R Bioconductor package using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/LRcellTypeMarkers/inst/doc/LRcellTypeMarkers-vignette.R suggestsMe: LRcell dependencyCount: 95 Package: lumiBarnes Version: 1.42.0 Depends: R (>= 2.0), Biobase (>= 2.5.5), lumi (>= 1.1.0) License: LGPL MD5sum: 2be75f5470fd60f9919045fc8147b613 NeedsCompilation: no Title: Barnes Benchmark Illumina Tissues Titration Data Description: The Barnes benchmark dataset can be used to evaluate the algorithms for Illumina microarrays. It measured a titration series of two human tissues, blood and placenta, and includes six samples with the titration ratio of blood and placenta as 100:0, 95:5, 75:25, 50:50, 25:75 and 0:100. The samples were hybridized on HumanRef-8 BeadChip (Illumina, Inc) in duplicate. The data is loaded as an LumiBatch Object (see documents in the lumi package). biocViews: ExperimentData, Tissue, MicroarrayData, ChipOnChipData Author: Pan Du Maintainer: Pan Du git_url: https://git.bioconductor.org/packages/lumiBarnes git_branch: RELEASE_3_18 git_last_commit: 8d90ec5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/lumiBarnes_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout, lumi dependencyCount: 165 Package: LungCancerACvsSCCGEO Version: 1.38.0 Depends: R (>= 2.15.0) License: GPL-2 MD5sum: f353aa0cc36dc25e67cdf1ba0738985e NeedsCompilation: no Title: A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files. Description: This package contains 30 Affymetrix CEL files for 7 Adenocarcinoma (AC) and 8 Squamous cell carcinoma (SCC) lung cancer samples taken at random from 3 GEO datasets (GSE10245, GSE18842 and GSE2109) and other 15 samples from a dataset produced by the organizers of the IMPROVER Diagnostic Signature Challenge available from GEO (GSE43580). biocViews: CancerData, LungCancerData, MicroarrayData, GEO Author: Adi Laurentiu Tarca Maintainer: Adi Laurentiu Tarca URL: http://bioinformaticsprb.med.wayne.edu/ git_url: https://git.bioconductor.org/packages/LungCancerACvsSCCGEO git_branch: RELEASE_3_18 git_last_commit: 1b11989 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/LungCancerACvsSCCGEO_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: LungCancerLines Version: 0.40.0 Imports: Rsamtools License: Artistic-2.0 MD5sum: 17b67ca0eac14ef832832b949972b277 NeedsCompilation: no Title: Reads from Two Lung Cancer Cell Lines Description: Reads from an RNA-seq experiment between two lung cancer cell lines: H1993 (met) and H2073 (primary). The reads are stored as Fastq files and are meant for use with the TP53Genome object in the gmapR package. biocViews: ExperimentData, Genome, CancerData, LungCancerData, RNASeqData Author: Cory Barr, Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/LungCancerLines git_branch: RELEASE_3_18 git_last_commit: 5860130 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/LungCancerLines_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: gmapR, HTSeqGenie, VariantTools dependencyCount: 31 Package: lungExpression Version: 0.40.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL (>= 2) MD5sum: 35eab717cb2e24c92faf417ad7fb9cb8 NeedsCompilation: no Title: ExpressionSets for Parmigiani et al., 2004 Clinical Cancer Research paper Description: Data from three large lung cancer studies provided as ExpressionSets biocViews: ExperimentData, CancerData, LungCancerData Author: Robert Scharpf , Simens Zhong , Giovanni Parmigiani Maintainer: Robert Scharpf git_url: https://git.bioconductor.org/packages/lungExpression git_branch: RELEASE_3_18 git_last_commit: f877a43 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/lungExpression_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: globaltest dependencyCount: 6 Package: lydata Version: 1.28.0 License: MIT + file LICENSE MD5sum: 4541ec0aad2bbee135b19b0bed4ea0af NeedsCompilation: no Title: Example Dataset for crossmeta Package Description: Raw data downloaded from GEO for the compound LY294002. Raw data is from multiple platforms from Affymetrix and Illumina. This data is used to illustrate the cross-platform meta-analysis of microarray data using the crossmeta package. biocViews: ExperimentData, MicroarrayData Author: Alex Pickering Maintainer: Alex Pickering git_url: https://git.bioconductor.org/packages/lydata git_branch: RELEASE_3_18 git_last_commit: 477654a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/lydata_1.28.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: ccmap, crossmeta dependencyCount: 0 Package: M3DExampleData Version: 1.28.0 Depends: R (>= 3.3) License: GPL (>=2) MD5sum: 6988767aab7572ae3e701fd6854c061f NeedsCompilation: no Title: M3Drop Example Data Description: Example data for M3Drop package. biocViews: Mus_musculus_Data, RNASeqData, ExpressionData, GEO, Tissue, ExperimentData Author: Tallulah Andrews Maintainer: Tallulah Andrews git_url: https://git.bioconductor.org/packages/M3DExampleData git_branch: RELEASE_3_18 git_last_commit: 0cf50a6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/M3DExampleData_1.28.0.tar.gz hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: celda, M3Drop dependencyCount: 0 Package: macrophage Version: 1.18.0 Depends: R (>= 3.5.0) Suggests: knitr, markdown License: GPL (>= 2) MD5sum: 5f83cf12d699a285cd228119b1d95cf0 NeedsCompilation: no Title: Human macrophage immune response Description: This package provides the output of running Salmon on a set of 24 RNA-seq samples from Alasoo, et al. "Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response", published in Nature Genetics, January 2018. For details on version numbers and how the samples were processed see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/macrophage git_branch: RELEASE_3_18 git_last_commit: 16aec9c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/macrophage_1.18.0.tar.gz vignettes: vignettes/macrophage/inst/doc/macrophage.html vignetteTitles: Salmon quantifications for human macrophage immune response experiment hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/macrophage/inst/doc/macrophage.R suggestsMe: fishpond, GeneTonic, quantiseqr, fluentGenomics dependencyCount: 0 Package: MACSdata Version: 1.10.0 License: file LICENSE MD5sum: 1d10f4fe6b20d5c09148b8011fb3183f NeedsCompilation: no Title: Test datasets for the MACSr package Description: Test datasets from the MACS3 test examples are use in the examples of the `MACSr` package. All 9 datasets are uploaded to the `ExperimentHub`. The original data can be found at: https://github.com/macs3-project/MACS/. biocViews: ExperimentHub, ExperimentData, ChIPSeqData Author: Qiang Hu [aut, cre] Maintainer: Qiang Hu git_url: https://git.bioconductor.org/packages/MACSdata git_branch: RELEASE_3_18 git_last_commit: 43b7147 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MACSdata_1.10.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: MACSr dependencyCount: 0 Package: mammaPrintData Version: 1.38.0 Depends: R (>= 2.13.0) Suggests: Biobase, readxl, limma License: Artistic-2.0 MD5sum: 08b3249a36d5f165a933bfab5eb05a2a NeedsCompilation: no Title: RGLists from the Glas and Buyse breast cancer studies Description: Gene expression data for the two breast cancer cohorts published by Glas and Buyse in 2006. This cohorts were used to implement and validate the mammaPrint breast cancer test. biocViews: ExperimentData, ExpressionData, CancerData, BreastCancerData, MicroarrayData, TwoChannelData Author: Luigi Marchionni Maintainer: Luigi Marchionni URL: http://luigimarchionni.org/breastTSP.html git_url: https://git.bioconductor.org/packages/mammaPrintData git_branch: RELEASE_3_18 git_last_commit: d0c57c4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mammaPrintData_1.38.0.tar.gz vignettes: vignettes/mammaPrintData/inst/doc/mammaPrintData.pdf vignetteTitles: Working with the mammaPrintData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mammaPrintData/inst/doc/mammaPrintData.R dependencyCount: 0 Package: mAPKLData Version: 1.34.0 Depends: R (>= 3.2.0) Suggests: Biobase License: Artistic-2.0 MD5sum: ce6399a1c853cb4e78de226347c3dc5d NeedsCompilation: no Title: Gene expression data for testing of the package mAPKL. Description: Gene expression data from a breast cancer study published by Turashvili et al. in 2007, provided as an eSet. biocViews: ExperimentData, ExpressionData, Cancer, Breast Author: Argiris Sakellariou Maintainer: Argiris Sakellariou git_url: https://git.bioconductor.org/packages/mAPKLData git_branch: RELEASE_3_18 git_last_commit: 6620a67 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mAPKLData_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: maqcExpression4plex Version: 1.46.0 Suggests: oligo, pdInfoBuilder License: GPL MD5sum: 8312b7fbcba763a33630effb8c3b5f10 NeedsCompilation: no Title: Sample Expression Data - MAQC / HG18 - NimbleGen Description: Data from human (HG18) 4plex NimbleGen array. It has 24k genes with 3 60mer probes per gene. biocViews: ExperimentData, CancerData Author: NimbleGen Systems Maintainer: Benilton Carvalho git_url: https://git.bioconductor.org/packages/maqcExpression4plex git_branch: RELEASE_3_18 git_last_commit: b67c28d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/maqcExpression4plex_1.46.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: oligo dependencyCount: 0 Package: MAQCsubset Version: 1.40.0 Depends: R (>= 2.10.0), affy (>= 1.23.4), Biobase (>= 2.5.5), lumi, methods Suggests: genefilter, codelink License: Artistic-2.0 MD5sum: 5757c11a1af2150b8fd17c3a8b8b0c0c NeedsCompilation: no Title: Experimental Data Package: MAQCsubset Description: Data Package automatically created on Sun Nov 19 15:59:29 2006. biocViews: ExperimentData, MicroarrayData, GEO Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/MAQCsubset git_branch: RELEASE_3_18 git_last_commit: 708a5e9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MAQCsubset_1.40.0.tar.gz vignettes: vignettes/MAQCsubset/inst/doc/maqcNotes.pdf vignetteTitles: MAQC notes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MAQCsubset/inst/doc/maqcNotes.R suggestsMe: arrayMvout dependencyCount: 165 Package: MAQCsubsetILM Version: 1.40.0 Depends: R (>= 2.10), Biobase (>= 2.5.5), lumi License: Artistic-2.0 MD5sum: 1c975db69a86cc80e99c5245998ee255 NeedsCompilation: no Title: MAQC data subset for the Illumina platform Description: MAQC data subset for the Illumina platform biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData Author: Laurent Gatto Maintainer: Laurent Gatto PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/MAQCsubsetILM git_branch: RELEASE_3_18 git_last_commit: 9030aca git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MAQCsubsetILM_1.40.0.tar.gz vignettes: vignettes/MAQCsubsetILM/inst/doc/MAQCsubsetILM.pdf vignetteTitles: MAQCsubsetILM: MAQC data subset for the Illumina platform hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MAQCsubsetILM/inst/doc/MAQCsubsetILM.R dependencyCount: 165 Package: marinerData Version: 1.2.0 Imports: utils, ExperimentHub Suggests: knitr, rmarkdown, ExperimentHubData, testthat (>= 3.0.0) License: GPL-3 MD5sum: 7875113ebb6baaaed6eb6fc762ba92ca NeedsCompilation: no Title: ExperimentHub data for the mariner package Description: Subsampled Hi-C in HEK cells expressing the NHA9 fusion with an F to S mutated IDR ("FS") or without any mutations to the IDR ("Wildtype" or "WT"). These files are used for testing mariner functions and some examples. biocViews: ExperimentHub, ExperimentData, SequencingData Author: Eric Davis [aut, cre] () Maintainer: Eric Davis VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/marinerData git_url: https://git.bioconductor.org/packages/marinerData git_branch: RELEASE_3_18 git_last_commit: 2607746 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/marinerData_1.2.0.tar.gz vignettes: vignettes/marinerData/inst/doc/marinerData.html vignetteTitles: marinerData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/marinerData/inst/doc/marinerData.R suggestsMe: mariner dependencyCount: 95 Package: mCSEAdata Version: 1.22.0 Depends: R (>= 3.5) Imports: GenomicRanges Suggests: BiocStyle, knitr, rmarkdown License: GPL-2 MD5sum: 11f8150e223a0e8d8fa5b9b8dedaa374 NeedsCompilation: no Title: Data package for mCSEA package Description: Data objects necessary to some mCSEA package functions. There are also example data objects to illustrate mCSEA package functionality. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData, ExperimentData Author: Jordi Martorell Marugán Maintainer: Jordi Martorell Marugán VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mCSEAdata git_branch: RELEASE_3_18 git_last_commit: 93aea4c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mCSEAdata_1.22.0.tar.gz vignettes: vignettes/mCSEAdata/inst/doc/mCSEAdata.pdf vignetteTitles: Data for mCSEA package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mCSEAdata/inst/doc/mCSEAdata.R dependsOnMe: mCSEA dependencyCount: 16 Package: mcsurvdata Version: 1.20.0 Depends: R (>= 3.5), ExperimentHub Imports: AnnotationHub, Biobase Suggests: BiocStyle, knitr License: GPL (>=2) MD5sum: 0299258c7610f3675dc0b9f8e333eefa NeedsCompilation: no Title: Meta cohort survival data Description: This package stores two merged expressionSet objects that contain the gene expression profile and clinical information of -a- six breast cancer cohorts and -b- four colorectal cancer cohorts. Breast cancer data are employed in the vignette of the hrunbiased package for survival analysis of gene signatures. biocViews: ExperimentData, Homo_sapiens_Data, GEO, MicroarrayData Author: Adria Caballe Mestres [aut, cre], Antoni Berenguer Llergo [aut], Camille Stephan-Otto Attolini [aut] Maintainer: Adria Caballe Mestres URL: https://github.com/adricaba/mcsurvdata VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mcsurvdata git_branch: RELEASE_3_18 git_last_commit: 54ba7d6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mcsurvdata_1.20.0.tar.gz vignettes: vignettes/mcsurvdata/inst/doc/mcsurvdata.html vignetteTitles: analysis vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/mcsurvdata/inst/doc/mcsurvdata.R dependencyCount: 95 Package: MEDIPSData Version: 1.38.0 Depends: R (>= 3.5.0) License: GPL (>= 2) MD5sum: 7b329ecedb2e9911b92ad669856abf2b NeedsCompilation: no Title: Example data for MEDIPS and QSEA packages Description: Example data for MEDIPS and QSEA packages, consisting of chromosome 22 MeDIP and control/Input sample data. Additionally, the package contains MeDIP seq data from 3 NSCLC samples and adjacent normal tissue (chr 20-22). All data has been aligned to human genome hg19. biocViews: ExperimentData, Genome, SequencingData Author: Lukas Chavez Maintainer: Lukas Chavez git_url: https://git.bioconductor.org/packages/MEDIPSData git_branch: RELEASE_3_18 git_last_commit: 055eb89 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MEDIPSData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MEDIPS, qsea dependencyCount: 0 Package: MEEBOdata Version: 1.40.0 License: LGPL MD5sum: cd3b9bb8a918c9497903f6274f323904 NeedsCompilation: no Title: MEEBO set and MEEBO controls. Description: R objects describing the MEEBO set. biocViews: ExperimentData Author: Agnes Paquet Maintainer: Agnes Paquet URL: http://alizadehlab.stanford.edu/ http://arrays.ucsf.edu/ git_url: https://git.bioconductor.org/packages/MEEBOdata git_branch: RELEASE_3_18 git_last_commit: c102a18 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MEEBOdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayQuality dependencyCount: 0 Package: MerfishData Version: 1.4.1 Depends: R (>= 4.2.0), EBImage, SpatialExperiment Imports: grDevices, AnnotationHub, BumpyMatrix, ExperimentHub, S4Vectors, SingleCellExperiment, SummarizedExperiment Suggests: grid, ggplot2, ggpubr, knitr, rmarkdown, testthat, BiocStyle, DropletUtils License: Artistic-2.0 MD5sum: 05369f89c4e1a15bdab1ce5174facbe4 NeedsCompilation: no Title: Collection of public MERFISH datasets Description: MerfishData is an ExperimentHub package that serves publicly available datasets obtained with Multiplexed Error-Robust Fluorescence in situ Hybridization (MERFISH). MERFISH is a massively multiplexed single-molecule imaging technology capable of simultaneously measuring the copy number and spatial distribution of hundreds to tens of thousands of RNA species in individual cells. The scope of the package is to provide MERFISH data for benchmarking and analysis. biocViews: ExperimentHub, ExpressionData, HighThroughputImagingData, Mus_musculus_Data, SingleCellData, SpatialData Author: Ludwig Geistlinger [aut, cre] (), Tyrone Lee [ctb], Helena Crowell [ctb] (), Jeffrey Moffitt [aut], Robert Gentleman [aut] Maintainer: Ludwig Geistlinger URL: https://github.com/ccb-hms/MerfishData VignetteBuilder: knitr BugReports: https://github.com/ccb-hms/MerfishData/issues git_url: https://git.bioconductor.org/packages/MerfishData git_branch: RELEASE_3_18 git_last_commit: a2aa191 git_last_commit_date: 2023-10-28 Date/Publication: 2023-10-31 source.ver: src/contrib/MerfishData_1.4.1.tar.gz vignettes: vignettes/MerfishData/inst/doc/Merfish_mouse_hypothalamus.html, vignettes/MerfishData/inst/doc/Merfish_mouse_ileum.html vignetteTitles: Mouse hypothalamus, Mouse ileum hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MerfishData/inst/doc/Merfish_mouse_hypothalamus.R, vignettes/MerfishData/inst/doc/Merfish_mouse_ileum.R dependencyCount: 116 Package: MetaGxBreast Version: 1.22.0 Depends: R (>= 3.6.0), Biobase, AnnotationHub, ExperimentHub Imports: stats, lattice, impute, SummarizedExperiment Suggests: testthat, xtable, tinytex License: Apache License (>= 2) MD5sum: e711302482bca1429de5fe2e5276c788 NeedsCompilation: no Title: Transcriptomic Breast Cancer Datasets Description: A collection of Breast Cancer Transcriptomic Datasets that are part of the MetaGxData package compendium. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData Author: Michael Zon [aut], Deena M.A. Gendoo [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains git_url: https://git.bioconductor.org/packages/MetaGxBreast git_branch: RELEASE_3_18 git_last_commit: a3c220a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MetaGxBreast_1.22.0.tar.gz vignettes: vignettes/MetaGxBreast/inst/doc/MetaGxBreast.pdf vignetteTitles: MetaGxBreast: a package for breast cancer gene expression analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxBreast/inst/doc/MetaGxBreast.R dependencyCount: 107 Package: MetaGxOvarian Version: 1.22.0 Depends: Biobase, AnnotationHub, ExperimentHub, SummarizedExperiment, R (>= 3.6.0) Imports: stats, lattice, impute Suggests: testthat, xtable, rmarkdown, knitr, BiocStyle, markdown License: Artistic-2.0 MD5sum: f76dc6c912d3a8936f81509ba6559286 NeedsCompilation: no Title: Transcriptomic Ovarian Cancer Datasets Description: A collection of Ovarian Cancer Transcriptomic Datasets that are part of the MetaGxData package compendium. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData Author: Michael Zon [aut], Vandana Sandhu [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MetaGxOvarian git_branch: RELEASE_3_18 git_last_commit: 77bbd05 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MetaGxOvarian_1.22.0.tar.gz vignettes: vignettes/MetaGxOvarian/inst/doc/MetaGxOvarian.html vignetteTitles: MetaGxOvarian: A Package for Ovarian Cancer Gene Expression Analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxOvarian/inst/doc/MetaGxOvarian.R dependencyCount: 107 Package: MetaGxPancreas Version: 1.22.0 Depends: SummarizedExperiment, ExperimentHub, R (>= 3.6.0) Imports: stats, impute, S4Vectors, AnnotationHub Suggests: testthat, knitr, BiocStyle, rmarkdown, markdown License: Artistic-2.0 MD5sum: 0c1764dc18a9a180b2121649c98a26a1 NeedsCompilation: no Title: Transcriptomic Pancreatic Cancer Datasets Description: A collection of pancreatic Cancer transcriptomic datasets that are part of the MetaGxData package compendium. This package contains multiple pancreas cancer datasets that have been downloaded from various resources and turned into SummarizedExperiment objects. The details of how the authors normalized the data can be found in the experiment data section of the objects. Additionally, the location the data was obtained from can be found in the url variables of the experiment data portion of each SE. biocViews: ExpressionData, ExperimentHub, CancerData, Homo_sapiens_Data, ArrayExpress, GEO, NCI, MicroarrayData, ExperimentData, SequencingData Author: Michael Zon [aut], Vandana Sandhu [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] Maintainer: Benjamin Haibe-Kains VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MetaGxPancreas git_branch: RELEASE_3_18 git_last_commit: 1f86cdf git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MetaGxPancreas_1.22.0.tar.gz vignettes: vignettes/MetaGxPancreas/inst/doc/MetaGxPancreas.html vignetteTitles: MetaGxPancreas: A Package for Pancreatic Cancer Gene Expression Analysis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaGxPancreas/inst/doc/MetaGxPancreas.R dependencyCount: 107 Package: metaMSdata Version: 1.38.0 License: GPL (>= 2) MD5sum: aa7ca09c8f43104cb85f69fda0a1fc1a NeedsCompilation: no Title: Example CDF data for the metaMS package Description: Example CDF data for the metaMS package biocViews: ExperimentData, MassSpectrometryData Author: Ron Wehrens [aut, cre], Pietro Franceschi [aut], Georg Weingart [ctb] Maintainer: Yann Guitton git_url: https://git.bioconductor.org/packages/metaMSdata git_branch: RELEASE_3_18 git_last_commit: cdf4625 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/metaMSdata_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CluMSID, metaMS dependencyCount: 0 Package: MetaScope Version: 1.2.0 Depends: R (>= 4.3.0) Imports: BiocFileCache, Biostrings, data.table, dplyr, ggplot2, magrittr, Matrix, MultiAssayExperiment, qlcMatrix, Rbowtie2, readr, rlang, Rsamtools, S4Vectors, stringr, SummarizedExperiment, taxize, tidyr, tools Suggests: BiocStyle, biomformat, knitr, lintr, plyr, R.utils, rmarkdown, Rsubread, spelling, sys, testthat, usethis Enhances: BiocParallel License: GPL (>= 3) MD5sum: 3e9dbacc12fa3bd332773ffa95325f0b NeedsCompilation: no Title: Tools and functions for preprocessing 16S and metagenomic sequencing microbiome data Description: This package contains tools and methods for preprocessing microbiome data. Functionality includes library generation, demultiplexing, alignment, and microbe identification. It is in part an R translation of the PathoScope 2.0 pipeline. biocViews: MicrobiomeData, ReproducibleResearch, SequencingData Author: Aubrey Odom [aut, cre] (), Rahul Varki [aut], W. Evan Johnson [aut] (), Howard Fan [ctb] Maintainer: Aubrey Odom URL: https://github.com/compbiomed/metascope https://compbiomed.github.io/metascope-docs/ VignetteBuilder: knitr BugReports: https://github.com/compbiomed/MetaScope/issues git_url: https://git.bioconductor.org/packages/MetaScope git_branch: RELEASE_3_18 git_last_commit: fec11ab git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MetaScope_1.2.0.tar.gz vignettes: vignettes/MetaScope/inst/doc/MetaScope_vignette.html vignetteTitles: Introdution to MetaScope hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MetaScope/inst/doc/MetaScope_vignette.R dependencyCount: 173 Package: MethylAidData Version: 1.34.0 Depends: MethylAid, R (>= 3.2) Suggests: BiocParallel, BiocStyle, knitr, minfiData, minfiDataEPIC License: GPL (>= 2) MD5sum: 95cc72b436067e4a8046564381101e04 NeedsCompilation: no Title: MethylAid-summarized data for 2800 Illumina 450k array samples and 2620 EPIC array samples Description: A data package containing summarized Illumina 450k array data on 2800 samples and summarized EPIC data for 2620 samples. The data can be use as a background data set in the interactive application. biocViews: ExperimentData, TechnologyData, MicroarrayData, MethylationArrayData Author: Davy Cats, Tyler J. Gorrie-Stone, Bastiaan T. Heijmans, John W. Holloway, BIOS Consortium, Maarten van Iterson, Faisal I. Rezwam, Leonard Schalkwyk Maintainer: M. van Iterson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MethylAidData git_branch: RELEASE_3_18 git_last_commit: e56feba git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MethylAidData_1.34.0.tar.gz vignettes: vignettes/MethylAidData/inst/doc/MethylAidData.pdf vignetteTitles: MethylAid-summarized data on 2800 Illumina 450k array samples hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MethylAidData/inst/doc/MethylAidData.R suggestsMe: MethylAid dependencyCount: 170 Package: methylclockData Version: 1.10.0 Imports: ExperimentHubData, ExperimentHub, utils Suggests: knitr, BiocStyle, rmarkdown License: MIT + file LICENSE MD5sum: 633d9cc6c028025090e12004484fada1 NeedsCompilation: no Title: Data for methylclock package Description: Collection of 9 datasets, andrews and bakulski cord blood, blood gse35069, blood gse35069 chen, blood gse35069 complete, combined cord blood, cord bloo d gse68456, gervin and lyle cord blood, guintivano dlpfc and saliva gse48472". Data downloaded from [meffil](https://github.com/perishky/meffil/). Data used to estimate cell counts using Extrinsic epigenetic age acceleration (EEAA) method Collection of 12 datasets to use with MethylClock package to estimate chronological and gestational DNA methylationwith estimators to use wit different methylation clocks biocViews: SpecimenSource, ExperimentHub, Tissue, OrganismData, Homo_sapiens_Data Author: Juan R. Gonzalez [aut], Dolors Pelegri-Siso [aut, cre] Maintainer: Dolors Pelegri-Siso URL: https://github.com/isglobal-brge/methylclockData VignetteBuilder: knitr BugReports: https://github.com/isglobal-brge/methylclockData/issues git_url: https://git.bioconductor.org/packages/methylclockData git_branch: RELEASE_3_18 git_last_commit: 276ec3c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/methylclockData_1.10.0.tar.gz vignettes: vignettes/methylclockData/inst/doc/methylcockData.html vignetteTitles: References for metilclock using Bioconductor's ExperimentHub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/methylclockData/inst/doc/methylcockData.R dependsOnMe: methylclock dependencyCount: 146 Package: MethylSeqData Version: 1.12.0 Depends: SummarizedExperiment Imports: ExperimentHub, HDF5Array, rhdf5, GenomeInfoDb, S4Vectors, GenomicRanges, stats, IRanges, utils Suggests: BiocFileCache, BiocStyle, data.table, knitr, rmarkdown License: CC0 MD5sum: ded280784f55a6ebec42069160de26ad NeedsCompilation: no Title: Collection of Public DNA Methylation Sequencing Datasets Description: Base-level (i.e. cytosine-level) counts for a collection of public bisulfite-seq datasets (e.g., WGBS and RRBS), provided as SummarizedExperiment objects with sample- and base-level metadata. biocViews: ExperimentHub, ExperimentData, SequencingData, Homo_sapiens_Data, Mus_musculus_Data, MethylSeqData Author: Peter Hickey [aut, cre] Maintainer: Peter Hickey VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MethylSeqData git_branch: RELEASE_3_18 git_last_commit: 61b5e50 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MethylSeqData_1.12.0.tar.gz vignettes: vignettes/MethylSeqData/inst/doc/MethylSeqData.html vignetteTitles: User's Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MethylSeqData/inst/doc/MethylSeqData.R dependencyCount: 110 Package: MicrobiomeBenchmarkData Version: 1.4.0 Depends: R (>= 4.2), SummarizedExperiment, TreeSummarizedExperiment Imports: BiocFileCache, tools, S4Vectors, ape, utils Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0), mia, ggplot2, tidyr, dplyr, magrittr, tibble, purrr License: Artistic-2.0 MD5sum: c6c791669de95bf2dc108798770ea5be NeedsCompilation: no Title: Datasets for benchmarking in microbiome research Description: The MicrobiomeBenchmarkData package provides functionality to access microbiome datasets suitable for benchmarking. These datasets have some biological truth, which allows to have expected results for comparison. The datasets come from various published sources and are provided as TreeSummarizedExperiment objects. Currently, only datasets suitable for benchmarking differential abundance methods are available. biocViews: ExperimentData, MicrobiomeData, ReproducibleResearch, SequencingData Author: Samuel Gamboa [aut, cre] (), Levi Waldron [aut] (), Marcel Ramos [ctb] Maintainer: Samuel Gamboa URL: https://github.com/waldronlab/MicrobiomeBenchmarkData, http://waldronlab.io/MicrobiomeBenchmarkData/ VignetteBuilder: knitr BugReports: https://github.com/waldronlab/MicrobiomeBenchmarkData/issues git_url: https://git.bioconductor.org/packages/MicrobiomeBenchmarkData git_branch: RELEASE_3_18 git_last_commit: a9465e2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MicrobiomeBenchmarkData_1.4.0.tar.gz vignettes: vignettes/MicrobiomeBenchmarkData/inst/doc/datasets.html, vignettes/MicrobiomeBenchmarkData/inst/doc/MicrobiomeBenchmarkData.html, vignettes/MicrobiomeBenchmarkData/inst/doc/recalibrare_spikein_data.html vignetteTitles: Datasets in MicrobiomeBenchmarkData, MicrobiomeBenchmarkData, Recalibration of the Stammler_2016_16S_spikein dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MicrobiomeBenchmarkData/inst/doc/datasets.R, vignettes/MicrobiomeBenchmarkData/inst/doc/MicrobiomeBenchmarkData.R, vignettes/MicrobiomeBenchmarkData/inst/doc/recalibrare_spikein_data.R dependencyCount: 90 Package: microbiomeDataSets Version: 1.10.0 Depends: R (>= 4.1), SummarizedExperiment, TreeSummarizedExperiment, MultiAssayExperiment Imports: methods, utils, BiocGenerics, ExperimentHub, Biostrings, ape Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, testthat License: CC0 MD5sum: 90cd4bb36dafcef8f6eb0e0232afdcd0 NeedsCompilation: no Title: Experiment Hub based microbiome datasets Description: microbiomeDataSets is a collection of microbiome datasets loaded from Bioconductor'S ExperimentHub infrastructure. The datasets serve as reference for workflows and vignettes published adjacent to the microbiome analysis tools on Bioconductor. Additional datasets can be added overtime and additions from authors are welcome. biocViews: ExperimentHub, ExperimentData, MicrobiomeData, SequencingData Author: Leo Lahti [cre, aut] (), Felix G.M. Ernst [aut] (), Sudarshan Shetty [aut] (), Chouaib Benchraka [ctb] (), Yagmur Simsek [ctb] Maintainer: Leo Lahti VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/microbiomeDataSets git_branch: RELEASE_3_18 git_last_commit: d02a75a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/microbiomeDataSets_1.10.0.tar.gz vignettes: vignettes/microbiomeDataSets/inst/doc/microbiomeDataSets.html vignetteTitles: microbiomeDataSets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/microbiomeDataSets/inst/doc/microbiomeDataSets.R suggestsMe: mia, miaViz dependencyCount: 124 Package: microRNAome Version: 1.24.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocGenerics, RUnit License: GPL (>= 2) MD5sum: 12d3baf395e82975bbcacfb9ff61a715 NeedsCompilation: no Title: SummarizedExperiment for the microRNAome project Description: This package provides a SummarizedExperiment object of read counts for microRNAs across tissues, cell-types, and cancer cell-lines. The read count matrix was prepared and provided by the author of the study: Towards the human cellular microRNAome. biocViews: ExperimentData, CellCulture, CancerData, SequencingData, RNASeqData, miRNAData Author: Matthew N. McCall , Marc K. Halushka , Arun H. Patil Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/microRNAome git_branch: RELEASE_3_18 git_last_commit: 0d9653c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/microRNAome_1.24.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 29 Package: minfiData Version: 0.48.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylation450kmanifest, IlluminaHumanMethylation450kanno.ilmn12.hg19 License: Artistic-2.0 MD5sum: 1ca7578aeab1a54db146c443870be6e7 NeedsCompilation: no Title: Example data for the Illumina Methylation 450k array Description: Data from 6 samples across 2 groups from 450k methylation arrays. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Kasper Daniel Hansen, Martin Aryee, Winston Timp Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/minfiData git_branch: RELEASE_3_18 git_last_commit: dc941ff git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/minfiData_0.48.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: methylationArrayAnalysis suggestsMe: bigmelon, conumee, ENmix, funtooNorm, Harman, mCSEA, MEAL, MethylAid, minfi, missMethyl, MultiDataSet, recountmethylation, regionalpcs, shinyepico, shinyMethyl, skewr, MethylAidData dependencyCount: 146 Package: minfiDataEPIC Version: 1.28.0 Depends: R (>= 3.5.0), minfi (>= 1.21.2), IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylationEPICanno.ilm10b2.hg19 License: Artistic-2.0 MD5sum: bcb0b01d571c5308e02db4c6b5c0d1ce NeedsCompilation: no Title: Example data for the Illumina Methylation EPIC array Description: Data from 3 technical replicates of the cell line GM12878 from the EPIC methylation array. biocViews: Homo_sapiens_Data, MethylationArrayData, MicroarrayData Author: Jean-Philippe Fortin, Kasper Daniel Hansen Maintainer: Kasper Daniel Hansen git_url: https://git.bioconductor.org/packages/minfiDataEPIC git_branch: RELEASE_3_18 git_last_commit: e036f5d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/minfiDataEPIC_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MethylAid, minfi, recountmethylation, REMP, MethylAidData dependencyCount: 146 Package: minionSummaryData Version: 1.32.0 Depends: R (>= 3.2.0) Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 1679c45541b2d76094c3894abe9c011d NeedsCompilation: no Title: Summarised MinION sequencing data published by Ashton et al. 2015 Description: Summarised MinION sequencing data for Salmonella Typhi published by Ashton et al. in 2015. Three replicate runs are each provided as Fast5Summary objects. biocViews: ExperimentData, SequencingData Author: Mike Smith [aut, cre] Maintainer: Mike Smith VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/minionSummaryData git_branch: RELEASE_3_18 git_last_commit: c5efcc2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/minionSummaryData_1.32.0.tar.gz vignettes: vignettes/minionSummaryData/inst/doc/creating-Styphi-Dataset.html vignetteTitles: Creating example MinION summary dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/minionSummaryData/inst/doc/creating-Styphi-Dataset.R suggestsMe: IONiseR dependencyCount: 0 Package: miRcompData Version: 1.32.0 Depends: R (>= 3.2), Imports: utils License: GPL-3 | file LICENSE MD5sum: 0b091222ebe8ac1a3a2c59384931393b NeedsCompilation: no Title: Data used in the miRcomp package Description: Raw amplification data from a large microRNA mixture / dilution study. These data are used by the miRcomp package to assess the performance of methods that estimate expression from the amplification curves. biocViews: ExperimentData, ExpressionData, qPCRData, Homo_sapiens_Data Author: Matthew N. McCall Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/miRcompData git_branch: RELEASE_3_18 git_last_commit: ca4e514 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/miRcompData_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE dependsOnMe: miRcomp dependencyCount: 1 Package: miRNATarget Version: 1.40.0 Depends: R (>= 2.10), Biobase License: GPL MD5sum: f1988a96af5f0232abfbe507854d49bb NeedsCompilation: no Title: gene target tabale of miRNA for human/mouse used for MiRaGE package Description: gene target tabale of miRNA for human/mouse used for MiRaGE package biocViews: ExperimentData, Homo_sapiens_Data Author: Y-h. Taguchi Maintainer: Y-h. Taguchi git_url: https://git.bioconductor.org/packages/miRNATarget git_branch: RELEASE_3_18 git_last_commit: f29b740 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/miRNATarget_1.40.0.tar.gz vignettes: vignettes/miRNATarget/inst/doc/miRNATarget.pdf vignetteTitles: miRNATargetTutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/miRNATarget/inst/doc/miRNATarget.R suggestsMe: MiRaGE dependencyCount: 6 Package: MMAPPR2data Version: 1.16.0 Depends: R (>= 3.6.0) Imports: Rsamtools Suggests: knitr, rmarkdown, BiocStyle, roxygen2, seqinr, readr Enhances: MMAPPR2 License: GPL-3 MD5sum: 5b4772746766de5c40448c865fa2d60d NeedsCompilation: no Title: Sample Data for MMAPPR2 Description: Contains data for illustration purposes in the MMAPPR2 package, namely simulated BAM files containing RNA-Seq data for a mutation in the slc24a5 gene, taken from the GRCz11 genome. Also contains reference sequence and annotation files for the region. biocViews: RNASeqData, Danio_rerio_Data, SequencingData, Genome Author: Kyle Johnsen [aut], Jonathon Hill [cre] Maintainer: Jonathon Hill URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613585/, https://github.com/kjohnsen/MMAPPR2 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MMAPPR2data git_branch: RELEASE_3_18 git_last_commit: b6e0950 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MMAPPR2data_1.16.0.tar.gz vignettes: vignettes/MMAPPR2data/inst/doc/MMAPPR2data.html vignetteTitles: Using MMAPPR2data Resources hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MMAPPR2data/inst/doc/MMAPPR2data.R dependencyCount: 31 Package: MMDiffBamSubset Version: 1.38.0 Suggests: MMDiff2 License: LGPL MD5sum: 0becc66301b49b58a99efa19577ee27c NeedsCompilation: no Title: Example ChIP-Seq data for the MMDiff package Description: Subset of BAM files, including WT_2.bam, Null_2.bam, Resc_2.bam, Input.bam from the "Cfp1" experiment (see Clouaire et al., Genes Dev. 2012). Data is available under ArrayExpress accession numbers E-ERAD-79. Additionally, corresponding subset of peaks called by MACS biocViews: ExperimentData, Genome, StemCell, Mus_musculus_Data, DNASeqData, ChIPSeqData, ArrayExpress Author: Gabriele Schweikert Maintainer: Gabriele Schweikert git_url: https://git.bioconductor.org/packages/MMDiffBamSubset git_branch: RELEASE_3_18 git_last_commit: 918a72a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MMDiffBamSubset_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: MMDiff2 dependencyCount: 0 Package: MOFAdata Version: 1.18.0 Depends: R (>= 3.5) Suggests: knitr, MultiAssayExperiment, rmarkdown, BiocStyle License: LGPL-3 MD5sum: 23e46e209a43d7e62cfd6accc6a6fb44 NeedsCompilation: yes Title: Data package for Multi-Omics Factor Analysis (MOFA) Description: A collection of datasets to accompany the R package MOFA and illustrate running and analysing MOFA models. biocViews: ReproducibleResearch Author: Ricard Argelaguet, Britta Velten, Damien Arnol, Florian Buettner, Wolfgang Huber, Oliver Stegle Maintainer: Britta Velten VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MOFAdata git_branch: RELEASE_3_18 git_last_commit: f0c52b3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MOFAdata_1.18.0.tar.gz vignettes: vignettes/MOFAdata/inst/doc/MOFAdata.html vignetteTitles: MOFAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MOFAdata/inst/doc/MOFAdata.R importsMe: TDbasedUFE suggestsMe: TDbasedUFEadv dependencyCount: 0 Package: mosaicsExample Version: 1.40.0 Depends: R (>= 2.11.1) License: GPL (>= 2) MD5sum: 8852ad56f152a138367e7630b6b21efb NeedsCompilation: no Title: Example data for the mosaics package, which implements MOSAiCS and MOSAiCS-HMM, a statistical framework to analyze one-sample or two-sample ChIP-seq data for transcription factor binding and histone modification Description: Data for the mosaics package, consisting of (1) chromosome 22 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding and H3K4me3 modification in MCF7 cell line from ENCODE database (HG19) and (2) chromosome 21 ChIP and control sample data from a ChIP-seq experiment of STAT1 binding, with mappability, GC content, and sequence ambiguity scores of human genome HG18. biocViews: ExperimentData, ChIPseqData, Homo_sapiens Author: Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles Maintainer: Dongjun Chung URL: http://groups.google.com/group/mosaics_user_group git_url: https://git.bioconductor.org/packages/mosaicsExample git_branch: RELEASE_3_18 git_last_commit: b5f14d5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mosaicsExample_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: mosaics dependencyCount: 0 Package: mouse4302barcodevecs Version: 1.40.0 Depends: R (>= 2.10.0) License: GPL (>= 2) MD5sum: 365757fba17dae1ed483e184d2c9fcdb NeedsCompilation: no Title: mouse4302 data for barcode Description: Data used by the barcode package for microarrays of type mouse4302. biocViews: Mus_musculus_Data, MicroarrayData Author: Matthew N. McCall , Rafael A. Irizarry Maintainer: Matthew N. McCall git_url: https://git.bioconductor.org/packages/mouse4302barcodevecs git_branch: RELEASE_3_18 git_last_commit: f397393 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mouse4302barcodevecs_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: MouseGastrulationData Version: 1.16.0 Depends: R (>= 4.1), SingleCellExperiment, SummarizedExperiment, SpatialExperiment Imports: methods, ExperimentHub, BiocGenerics, S4Vectors, BumpyMatrix Suggests: BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 4af06fb157942c6cfd9f24494bd7ae1f NeedsCompilation: no Title: Single-Cell -omics Data across Mouse Gastrulation and Early Organogenesis Description: Provides processed and raw count data for single-cell RNA sequencing, single-cell ATAC-seq, and seqFISH (spatial transcriptomic) experiments performed along a timecourse of mouse gastrulation and early organogenesis. biocViews: ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData, ExperimentHub, Mus_musculus_Data Author: Jonathan Griffiths [aut, cre], Aaron Lun [aut] Maintainer: Jonathan Griffiths URL: https://github.com/MarioniLab/MouseGastrulationData VignetteBuilder: knitr BugReports: https://github.com/MarioniLab/MouseGastrulationData/issues git_url: https://git.bioconductor.org/packages/MouseGastrulationData git_branch: RELEASE_3_18 git_last_commit: 982a776 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MouseGastrulationData_1.16.0.tar.gz vignettes: vignettes/MouseGastrulationData/inst/doc/MouseGastrulationData.html vignetteTitles: Available datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MouseGastrulationData/inst/doc/MouseGastrulationData.R dependsOnMe: OSCA.multisample suggestsMe: miloR dependencyCount: 111 Package: MouseThymusAgeing Version: 1.10.0 Depends: SingleCellExperiment, SummarizedExperiment Imports: ExperimentHub, methods, BiocGenerics, S4Vectors Suggests: knitr, scuttle, rmarkdown, BiocStyle License: GPL-3 MD5sum: cf1889c22fa9e5ac5899a4d911907a90 NeedsCompilation: no Title: Single-cell Transcriptomics Data of the Ageing Mouse Thymus Description: This package provides data access to counts matrices and meta-data for single-cell RNA sequencing data of thymic epithlial cells across mouse ageing using SMARTseq2 and 10X Genommics chemistries. Access is provided as a data package via ExperimentHub. It is designed to facilitate the re-use of data from Baran-Gale _et al._ in a consistent format that includes relevant and informative meta-data. biocViews: ExperimentHub, SingleCellData, ExpressionData, ExperimentData Author: Mike Morgan [aut, cre], Jeanette Baran-Gale [aut] Maintainer: Mike Morgan VignetteBuilder: knitr BugReports: https://github.com/MarioniLab/MouseThymusAgeing/issues git_url: https://git.bioconductor.org/packages/MouseThymusAgeing git_branch: RELEASE_3_18 git_last_commit: 278aba6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MouseThymusAgeing_1.10.0.tar.gz vignettes: vignettes/MouseThymusAgeing/inst/doc/MouseThymusAgeing.html vignetteTitles: Available datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MouseThymusAgeing/inst/doc/MouseThymusAgeing.R suggestsMe: miloR dependencyCount: 107 Package: msd16s Version: 1.22.0 Depends: R (>= 2.10), Biobase, metagenomeSeq, License: Artistic-2.0 MD5sum: fddb80467192bbe28bb92599941be5d3 NeedsCompilation: no Title: Healthy and moderate to severe diarrhea 16S expression data Description: Gut 16S sequencing expression data from 992 healthy and moderate-to-severe diarrhetic samples used in 'Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition'. biocViews: ExperimentData, SequencingData, MicrobiomeData Author: Joseph N. Paulson, Hector Corrada Bravo, Mihai Pop Maintainer: Joseph N. Paulson URL: http://www.cbcb.umd.edu/research/projects/GEMS-pathogen-discovery git_url: https://git.bioconductor.org/packages/msd16s git_branch: RELEASE_3_18 git_last_commit: 437172b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/msd16s_1.22.0.tar.gz vignettes: vignettes/msd16s/inst/doc/msd16s.pdf vignetteTitles: msd16s hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msd16s/inst/doc/msd16s.R suggestsMe: scTreeViz dependencyCount: 32 Package: msdata Version: 0.42.0 Depends: R (>= 3.5.0) Suggests: xcms, mzR, MSnbase License: GPL (>= 2) MD5sum: 3ef7fea0866799a767fb8ac2d1da0a16 NeedsCompilation: no Title: Various Mass Spectrometry raw data example files Description: Ion Trap positive ionization mode data in mzML file format. Subset from 500-850 m/z and 1190-1310 seconds, incl. MS2 and MS3, intensity threshold 100.000. Extracts from FTICR Apex III, m/z 400-450. Subset of UPLC - Bruker micrOTOFq data, both mzML and mz5. LC-MSMS and MRM files from proteomics experiments. PSI mzIdentML example files for various search engines. biocViews: ExperimentData, MassSpectrometryData Author: Steffen Neumann , Laurent Gatto with contriutions from Johannes Rainer Maintainer: Steffen Neumann , Laurent Gatto git_url: https://git.bioconductor.org/packages/msdata git_branch: RELEASE_3_18 git_last_commit: 8134dff git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/msdata_0.42.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MsQuality suggestsMe: IPO, MetaboAnnotation, MobilityTransformR, MsBackendSql, MsExperiment, MSnbase, msqrob2, mzR, peakPantheR, PSMatch, QFeatures, Spectra, TargetDecoy, xcms, RforProteomics dependencyCount: 0 Package: msigdb Version: 1.10.0 Depends: R (>= 4.1) Imports: ExperimentHub, utils, GSEABase, org.Mm.eg.db, org.Hs.eg.db, AnnotationDbi, methods, stats, AnnotationHub Suggests: singscore, vissE, knitr, prettydoc, BiocStyle, rmarkdown, testthat (>= 3.0.0), BiocFileCache, GO.db, stringr, limma License: CC BY 4.0 MD5sum: eb5822dab5f9ad68cc5a46beaf626de0 NeedsCompilation: no Title: An ExperimentHub Package for the Molecular Signatures Database (MSigDB) Description: This package provides the Molecular Signatures Database (MSigDB) in a R accessible objects. Signatures are stored in GeneSet class objects form the GSEABase package and the entire database is stored in a GeneSetCollection object. These data are then hosted on the ExperimentHub. Data used in this package was obtained from the MSigDB of the Broad Institute. Metadata for each gene set is stored along with the gene set in the GeneSet class object. biocViews: ExperimentHub, Homo_sapiens_Data, Mus_musculus_Data Author: Dharmesh D. Bhuva [aut, cre] (), Gordon K. Smyth [aut] (), Alexandra Garnham [aut] () Maintainer: Dharmesh D. Bhuva URL: https://davislaboratory.github.io/msigdb VignetteBuilder: knitr BugReports: https://github.com/DavisLaboratory/msigdb/issues git_url: https://git.bioconductor.org/packages/msigdb git_branch: RELEASE_3_18 git_last_commit: 02818a6 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/msigdb_1.10.0.tar.gz vignettes: vignettes/msigdb/inst/doc/msigdb.html vignetteTitles: msigdb hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msigdb/inst/doc/msigdb.R importsMe: mastR, vissE dependencyCount: 101 Package: MSMB Version: 1.20.0 Depends: R (>= 3.5), tibble Suggests: knitr, BiocStyle License: LGPL MD5sum: bc2942708f54a40d59ce7e41daff7df0 NeedsCompilation: no Title: Data sets for the book 'Modern Statistics for Biology' Description: Data sets for the book 'Modern Statistics for Modern Biology', S.P. Holmes and W. Huber. biocViews: ExperimentData Author: Wolfgang Huber, Andrzej Oles, Mike Smith Maintainer: Wolfgang Huber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/MSMB git_branch: RELEASE_3_18 git_last_commit: 2f9c796 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MSMB_1.20.0.tar.gz vignettes: vignettes/MSMB/inst/doc/MSMB.html vignetteTitles: Data sets for the book 'Modern Statistics for Biology' hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MSMB/inst/doc/MSMB.R dependencyCount: 14 Package: msPurityData Version: 1.30.0 Suggests: knitr License: GPL (>= 2) MD5sum: 6c86343515cbb9f81131baa3f25659f0 NeedsCompilation: no Title: Fragmentation spectral libraries and data to test the msPurity package Description: Fragmentation spectral libraries and data to test the msPurity package biocViews: ExperimentData, MassSpectrometryData Author: Thomas N. Lawson Maintainer: Thomas N. Lawson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/msPurityData git_branch: RELEASE_3_18 git_last_commit: 0d23542 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/msPurityData_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: msPurity dependencyCount: 0 Package: msqc1 Version: 1.30.0 Depends: R (>= 3.6), lattice, stats, utils Suggests: BiocStyle, knitr, rmarkdown, testthat, specL (>= 1.2) License: GPL MD5sum: a95a760a0c0ef5e8053acee1d59170a4 NeedsCompilation: no Title: Sigma mix MSQC1 data Description: contains eight technical replicate data set and a three replicate dilution series of the MS Qual/Quant Quality Control Mix standard sample (Sigma-Aldrich, Buchs, Switzerland) measured on five different mass spectrometer platforms at the Functional Genomics Center Zurich. biocViews: ExperimentData, MassSpectrometryData, ReproducibleResearch Author: Tobias Kockmann [aut] (), Christian Trachsel [aut], Christian Panse [aut, cre] () Maintainer: Christian Panse URL: https://panoramaweb.org/labkey/MSQC1.url, http://fgcz-bfabric.uzh.ch/bfabric/project.html?projectId=1959 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/msqc1 git_branch: RELEASE_3_18 git_last_commit: 17e718a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/msqc1_1.30.0.tar.gz vignettes: vignettes/msqc1/inst/doc/poster.pdf, vignettes/msqc1/inst/doc/chromatography.html, vignettes/msqc1/inst/doc/msqc1.html vignetteTitles: ASMS 2016 poster (in portrait) abstract ID number: 282492, LC Observations - Retention Time Stability, Introducing msqc1 - A Mass Spec Data set for Targeted Proteomics Performance Evaluation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/msqc1/inst/doc/chromatography.R, vignettes/msqc1/inst/doc/msqc1.R, vignettes/msqc1/inst/doc/poster.R dependencyCount: 6 Package: mtbls2 Version: 1.32.0 Depends: R (>= 2.10) Suggests: xcms (>= 3.13.8), CAMERA, Risa (>= 1.0.0), knitr, Heatplus, pcaMethods, sp, rmarkdown License: CC0 MD5sum: 820109836c79f398ea5b82f5887b7fea NeedsCompilation: no Title: MetaboLights MTBLS2: Comparative LC/MS-based profiling of silver nitrate-treated Arabidopsis thaliana leaves of wild-type and cyp79B2 cyp79B3 double knockout plants. Böttcher et al. (2004) Description: Indole-3-acetaldoxime (IAOx) represents an early intermediate of the biosynthesis of a variety of indolic secondary metabolites including the phytoanticipin indol-3-ylmethyl glucosinolate and the phytoalexin camalexin (3-thiazol-2'-yl-indole). Arabidopsis thaliana cyp79B2 cyp79B3 double knockout plants are completely impaired in the conversion of tryptophan to indole-3-acetaldoxime and do not accumulate IAOx-derived metabolites any longer. Consequently, comparative analysis of wild-type and cyp79B2 cyp79B3 plant lines has the potential to explore the complete range of IAOx-derived indolic secondary metabolites. biocViews: MassSpectrometryData, RepositoryData Author: Steffen Neumann Maintainer: Steffen Neumann URL: http://www.ebi.ac.uk/metabolights/MTBLS2, https://github.com/sneumann/mtbls2 VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/mtbls2 git_branch: RELEASE_3_18 git_last_commit: cf40842 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mtbls2_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: IPO, yamss dependencyCount: 0 Package: MUGAExampleData Version: 1.22.0 Depends: R (>= 2.10.0) License: GPL-3 MD5sum: b7fe2c7ad41486695fb78263a8c9a854 NeedsCompilation: no Title: Example {M}ouse {U}niversal {G}enotyping {A}rray data for genome reconstruction and quantitative trait locus mapping. Description: This package contains example data for the MUGA array that is used by the R package DOQTL. biocViews: ExperimentData, Mus_musculus_Data Author: Daniel Gatti Maintainer: Daniel Gatti git_url: https://git.bioconductor.org/packages/MUGAExampleData git_branch: RELEASE_3_18 git_last_commit: 3414f29 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/MUGAExampleData_1.22.0.tar.gz vignettes: vignettes/MUGAExampleData/inst/doc/MUGAExampleData.pdf vignetteTitles: User Manual hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/MUGAExampleData/inst/doc/MUGAExampleData.R dependencyCount: 0 Package: multiWGCNAdata Version: 1.0.0 Depends: ExperimentHub Imports: utils Suggests: knitr, multiWGCNA, rmarkdown, SummarizedExperiment License: Artistic-2.0 MD5sum: bbaef52471ac8f4132576ae7a51a8a22 NeedsCompilation: no Title: Data Package for multiWGCNA Description: Stores expression profiling data from experiments compatible with the multiWGCNA R package. This includes human postmortem microarray data from patients and controls (GSE28521), astrocyte Ribotag RNA-seq data from EAE and wildtype mice (GSE100329), and mouse RNA-seq data from tau pathology (rTg4510) and wildtype control mice (GSE125957). These data can be accessed using the ExperimentHub workflow (see multiWGCNA vignettes). biocViews: ExperimentHub, ExpressionData, Homo_sapiens_Data, Mus_musculus_Data, RNASeqData, MicroarrayData Author: Dario Tommasini [aut, cre] () Maintainer: Dario Tommasini VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/multiWGCNAdata git_branch: RELEASE_3_18 git_last_commit: 106183b git_last_commit_date: 2023-10-24 Date/Publication: 2024-04-09 source.ver: src/contrib/multiWGCNAdata_1.0.0.tar.gz vignettes: vignettes/multiWGCNAdata/inst/doc/multiWGCNAdata.html vignetteTitles: Loading data through ExperimentHub hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/multiWGCNAdata/inst/doc/multiWGCNAdata.R dependencyCount: 95 Package: muscData Version: 1.16.0 Depends: R (>= 3.6), ExperimentHub, SingleCellExperiment Imports: utils Suggests: BiocStyle, dplyr, DropletUtils, knitr, GEOquery, Matrix, matrixStats, methods, muscat, rmarkdown, R.utils, readxl, scater, scds, Seurat License: MIT + file LICENSE MD5sum: f34c376f88f97c98d4aac5490b45bc24 NeedsCompilation: no Title: Multi-sample multi-group scRNA-seq data Description: Data package containing a collection of multi-sample multi-group scRNA-seq datasets in SingleCellExperiment Bioconductor object format. biocViews: ExperimentHub, ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, ImmunoOncologyData, SingleCellData Author: Helena L. Crowell [aut, cre] Maintainer: Helena L. Crowell URL: https://github.com/HelenaLC/muscData VignetteBuilder: knitr BugReports: https://github.com/HelenaLC/muscData/issues git_url: https://git.bioconductor.org/packages/muscData git_branch: RELEASE_3_18 git_last_commit: 30ae3fc git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/muscData_1.16.0.tar.gz vignettes: vignettes/muscData/inst/doc/muscData.html vignetteTitles: Multi-sample multi-group scRNA-seq data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/muscData/inst/doc/muscData.R suggestsMe: glmGamPoi dependencyCount: 107 Package: mvoutData Version: 1.38.0 Depends: R (>= 2.10.0), methods, Biobase (>= 2.5.5), affy (>= 1.23.4), lumi License: Artistic-2.0 MD5sum: abca7ca8ae7729ed8f146d0083aa9757 NeedsCompilation: no Title: affy and illumina raw data for assessing outlier detector performance Description: affy and illumina raw data for assessing outlier detector performance biocViews: ExperimentData, MicroarrayData Author: VJ Carey Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/mvoutData git_branch: RELEASE_3_18 git_last_commit: c69f487 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/mvoutData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: arrayMvout dependencyCount: 165 Package: NanoporeRNASeq Version: 1.12.0 Depends: R(>= 4.0.0), ExperimentHub (>= 1.15.3) Suggests: knitr, bambu, ggbio, BSgenome.Hsapiens.NCBI.GRCh38, circlize, ComplexHeatmap, apeglm, rlang, rmarkdown, GenomicAlignments, Rsamtools Enhances: parallel License: GPL-3 + file LICENSE MD5sum: eca12ebcd403efd53e1b38d5f03f2027 NeedsCompilation: no Title: Nanopore RNA-Seq Example data Description: The NanoporeRNASeq package contains long read RNA-Seq data generated using Oxford Nanopore Sequencing. The data consists of 6 samples from two human cell lines (K562 and MCF7) that were generated by the SG-NEx project. Each of these cell lines has three replicates, with 1 direct RNA sequencing data and 2 cDNA sequencing data. Reads are aligned to chromosome 22 (Grch38) and stored as bam files. The original data is from the SG-NEx project. biocViews: ExperimentHub, ExperimentData, RNASeqData, Genome, SequencingData Author: Jonathan Goeke [aut], Ying Chen [cre], Yuk Kei Wan [aut] Maintainer: Ying Chen URL: https://github.com/GoekeLab/NanoporeRNASeq VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NanoporeRNASeq git_branch: RELEASE_3_18 git_last_commit: 6b89b97 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NanoporeRNASeq_1.12.0.tar.gz vignettes: vignettes/NanoporeRNASeq/inst/doc/NanoporeRNASeq.html vignetteTitles: NanoporeRNASeq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NanoporeRNASeq/inst/doc/NanoporeRNASeq.R suggestsMe: bambu dependencyCount: 95 Package: nanotubes Version: 1.18.0 Depends: R (>= 3.6) Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, rtracklayer, CAGEfightR License: GPL-3 MD5sum: ff283cb49c319a357c22e17d2df22715 NeedsCompilation: no Title: Mouse nanotube CAGE data Description: Cap Analysis of Gene Expression (CAGE) data from "Identification of Gene Transcription Start Sites and Enhancers Responding to Pulmonary Carbon Nanotube Exposure in Vivo" by Bornholdt et al. supplied as CAGE Transcription Start Sites (CTSSs). biocViews: ExperimentData, SequencingData, ExpressionData Author: Malte Thodberg Maintainer: Malte Thodberg URL: https://github.com/MalteThodberg/nanotubes VignetteBuilder: knitr BugReports: https://github.com/MalteThodberg/nanotubes/issues git_url: https://git.bioconductor.org/packages/nanotubes git_branch: RELEASE_3_18 git_last_commit: e56bc09 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/nanotubes_1.18.0.tar.gz vignettes: vignettes/nanotubes/inst/doc/nanotubes.html vignetteTitles: nanotubes hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/nanotubes/inst/doc/nanotubes.R dependsOnMe: CAGEWorkflow dependencyCount: 0 Package: NCIgraphData Version: 1.38.0 Depends: R (>= 2.10.0) Suggests: Rgraphviz License: GPL-3 MD5sum: f144169473d42fafb1966986dcf15628 NeedsCompilation: no Title: Data for the NCIgraph software package Description: Provides pathways from the NCI Pathways Database as R graph objects biocViews: NCI Author: Laurent Jacob Maintainer: Laurent Jacob git_url: https://git.bioconductor.org/packages/NCIgraphData git_branch: RELEASE_3_18 git_last_commit: b84956a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NCIgraphData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: NestLink Version: 1.18.0 Depends: R (>= 3.6), AnnotationHub (>= 2.15), ExperimentHub (>= 1.0), Biostrings (>= 2.51), gplots (>= 3.0), protViz (>= 0.4), ShortRead (>= 1.41) Imports: grDevices, graphics, stats, utils Suggests: BiocStyle (>= 2.2), DT, ggplot2, knitr, rmarkdown, testthat, specL, lattice, scales License: GPL MD5sum: 11cd94f5bd8b38cf261ae3346a283e81 NeedsCompilation: no Title: NestLink an R data package to guide through Engineered Peptide Barcodes for In-Depth Analyzes of Binding Protein Ensembles Description: Provides next-generation sequencing (NGS) and mass spectrometry (MS) sample data, code snippets and replication material used for developing NestLink. The NestLink approach is a protein binder selection and identification technology able to biophysically characterize thousands of library members at once without handling individual clones at any stage of the process. Data were acquired on NGS and MS platforms at the Functional Genomics Center Zurich. biocViews: ExperimentHub, ExperimentData, SequencingData, MassSpectrometryData, ReproducibleResearch Author: Pascal Egloff [aut] (), Iwan Zimmermann [ctb] (), Fabian M. Arnold [ctb], Cedric A.J. Hutter [ctb] (), Lennart Opitz [aut, cre] (), Lucy Poveda [ctb] (), Hans-Anton Keserue [ctb], Christian Panse [aut, ctb] (), Bernd Roschitzki [aut] (), Markus Seeger [aut] () Maintainer: Lennart Opitz VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NestLink git_branch: RELEASE_3_18 git_last_commit: 23c3c6e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NestLink_1.18.0.tar.gz vignettes: vignettes/NestLink/inst/doc/analyze-flycode-detectibilty.html, vignettes/NestLink/inst/doc/compare-predicted-observed-flycodes.html, vignettes/NestLink/inst/doc/link-nanobodies-flycodes.html, vignettes/NestLink/inst/doc/make-data.html, vignettes/NestLink/inst/doc/simulate-flycodes.html, vignettes/NestLink/inst/doc/supplement-note1.html vignetteTitles: 2. Analyze flycode detectability using ESP and SSRC prediction, 3. Compare Predicted and Observed flycodes hydrophobicity values using F255744., 1. Link high quality flycode and nanobody sequences by NGS filtering., 5. make-data, 0. Simulate flycode properties., 4. Control experiment to assess the robustness of protein detection via flycodes (NMETH-A35040 Suppl. notes 1). hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/NestLink/inst/doc/analyze-flycode-detectibilty.R, vignettes/NestLink/inst/doc/compare-predicted-observed-flycodes.R, vignettes/NestLink/inst/doc/link-nanobodies-flycodes.R, vignettes/NestLink/inst/doc/make-data.R, vignettes/NestLink/inst/doc/simulate-flycodes.R, vignettes/NestLink/inst/doc/supplement-note1.R dependencyCount: 132 Package: NetActivityData Version: 1.4.0 Depends: R (>= 4.2.0) Suggests: BiocStyle, knitr License: MIT + file LICENSE MD5sum: a3805046d14d13afc30a0f082952f200 NeedsCompilation: no Title: Data required for getting the gene set scores with NetActivity package Description: This package contains the weights from pre-trained shallow sparsely-connected autoencoders. This data is required for getting the gene set scores with NetActivity package. biocViews: ExperimentData, RepositoryData Author: Carlos Ruiz-Arenas [aut, cre] Maintainer: Carlos Ruiz-Arenas VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/NetActivityData git_branch: RELEASE_3_18 git_last_commit: 6dae851 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NetActivityData_1.4.0.tar.gz vignettes: vignettes/NetActivityData/inst/doc/NetActivityData.html vignetteTitles: "NetActivityData" hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NetActivityData/inst/doc/NetActivityData.R importsMe: NetActivity dependencyCount: 0 Package: Neve2006 Version: 0.40.0 Depends: R (>= 2.14.0), tools, methods, utils, Biobase (>= 1.14.0), hgu133a.db, annotate License: Artistic-2.0 MD5sum: 1feec2f09bac8c69ba9df5ea29e7e08c NeedsCompilation: no Title: expression and CGH data on breast cancer cell lines Description: Experimental organization of combined expression and CGH data biocViews: ExperimentData, CancerData, BreastCancerData Author: M. Neve et al. in Gray Lab at LBL Maintainer: VJ Carey git_url: https://git.bioconductor.org/packages/Neve2006 git_branch: RELEASE_3_18 git_last_commit: 3cfc0a9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Neve2006_0.40.0.tar.gz vignettes: vignettes/Neve2006/inst/doc/neve06notes.pdf vignetteTitles: Neve 2006: combined CGH and expression data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Neve2006/inst/doc/neve06notes.R dependencyCount: 51 Package: NGScopyData Version: 1.22.0 License: GPL (>=2) MD5sum: 0ba77cf672a331e4c9dd90b26f41b5c6 NeedsCompilation: no Title: Subset of BAM files of human tumor and pooled normal sequencing data (Zhao et al. 2014) for the NGScopy package Description: Subset of BAM files of human lung tumor and pooled normal samples by targeted panel sequencing. [Zhao et al 2014. Targeted Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using the University of North Carolina (UNC) Sequencing Assay Captures Most Previously Described Genetic Aberrations in NSCLC. In preparation.] Each sample is a 10 percent random subsample drawn from the original sequencing data. The pooled normal sample has been rescaled accroding to the total number of normal samples in the "pool". Here provided is the subsampled data on chr6 (hg19). biocViews: ExperimentData, CancerData, LungCancerData, SequencingData Author: Xiaobei Zhao [aut, cre, cph] Maintainer: Xiaobei Zhao URL: http://www.bioconductor.org/packages/release/data/experiment/html/NGScopyData.html git_url: https://git.bioconductor.org/packages/NGScopyData git_branch: RELEASE_3_18 git_last_commit: 9d1a43d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NGScopyData_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: nullrangesData Version: 1.8.0 Depends: R (>= 4.1.0), ExperimentHub, GenomicRanges, InteractionSet Imports: utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: c8b4cf63d70a2577251c03c093c014b1 NeedsCompilation: no Title: ExperimentHub datasets for the nullranges package Description: Provides datasets for the nullranges package vignette, in particular example datasets for DNase hypersensitivity sites (DHS), CTCF binding sites, and CTCF genomic interactions. These are used to demonstrate generation of null hypothesis feature sets, either through block bootstrapping or matching, in the nullranges vignette. For more details, see the data object man pages, and the R scripts for object construction provided within the package. biocViews: ExperimentHub, Homo_sapiens_Data, SequencingData, ChIPSeqData, ENCODE Author: Michael Love [aut, cre] (), Wancen Mu [aut] (), Eric Davis [aut] (), Mikhail Dozmorov [aut] Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/nullrangesData git_branch: RELEASE_3_18 git_last_commit: b4405be git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/nullrangesData_1.8.0.tar.gz vignettes: vignettes/nullrangesData/inst/doc/nullrangesData.html vignetteTitles: nullrangesData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/nullrangesData/inst/doc/nullrangesData.R suggestsMe: iSEEhub, nullranges dependencyCount: 107 Package: NxtIRFdata Version: 1.8.0 Imports: ExperimentHub, BiocFileCache, rtracklayer, R.utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown License: MIT + file LICENSE MD5sum: 3d9c35f12650fe6e2eb413224b3590dc NeedsCompilation: no Title: Data for NxtIRF Description: NxtIRFdata is a companion package for SpliceWiz, an interactive analysis and visualization tool for alternative splicing quantitation (including intron retention) for RNA-seq BAM files. NxtIRFdata contains Mappability files required for the generation of human and mouse references. NxtIRFdata also contains a synthetic genome reference and example BAM files used to demonstrate SpliceWiz's functionality. BAM files are based on 6 samples from the Leucegene dataset provided by NCBI Gene Expression Omnibus under accession number GSE67039. biocViews: ExperimentData, PackageTypeData, Genome, RNASeqData, ExpressionData, ExperimentHub Author: Alex Chit Hei Wong [aut, cre, cph], Ulf Schmitz [ctb] Maintainer: Alex Chit Hei Wong URL: https://github.com/alexchwong/NxtIRFdata VignetteBuilder: knitr BugReports: https://support.bioconductor.org/ git_url: https://git.bioconductor.org/packages/NxtIRFdata git_branch: RELEASE_3_18 git_last_commit: 626a3f0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/NxtIRFdata_1.8.0.tar.gz vignettes: vignettes/NxtIRFdata/inst/doc/NxtIRFdata.html vignetteTitles: NxtIRFdata: a data package for NxtIRF hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/NxtIRFdata/inst/doc/NxtIRFdata.R dependsOnMe: SpliceWiz dependencyCount: 126 Package: ObMiTi Version: 1.10.0 Depends: R (>= 4.1), SummarizedExperiment, ExperimentHub Suggests: knitr, rmarkdown, BiocManager, GenomicFeatures, S4Vectors, devtools, testthat License: GPL-3 MD5sum: 0510665a5231cd3109d19478e4aadbd9 NeedsCompilation: no Title: Ob/ob Mice Data on Normal and High Fat Diet Description: The package provide RNA-seq count for 2 strains of mus musclus; Wild type and Ob/Ob. Each strain was divided into two groups, and each group received either chow diet or high fat diet. RNA expression was measured after 20 weeks in 7 tissues. biocViews: ExperimentHub, GEO, RNASeqData Author: Omar Elashkar [aut, cre] (), Mahmoud Ahmed [aut] () Maintainer: Omar Elashkar URL: https://github.com/OmarElAshkar/ObMiTi VignetteBuilder: knitr BugReports: https://github.com/OmarElAshkar/ObMiTi/issues git_url: https://git.bioconductor.org/packages/ObMiTi git_branch: RELEASE_3_18 git_last_commit: 765fe6c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ObMiTi_1.10.0.tar.gz vignettes: vignettes/ObMiTi/inst/doc/ObMiTi.html vignetteTitles: Using ObMiTi hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ObMiTi/inst/doc/ObMiTi.R dependencyCount: 106 Package: oct4 Version: 1.18.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: 1b6bbc6300c74c038689c7fb5b7d5eb2 NeedsCompilation: no Title: Conditional knockdown of OCT4 in mouse ESCs Description: This package provides the output of running Salmon on a set of 12 RNA-seq samples from King & Klose, "The pioneer factor OCT4 requires the chromatin remodeller BRG1 to support gene regulatory element function in mouse embryonic stem cells", published in eLIFE, March 2017. For details on version numbers and how the samples were processed see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/oct4 git_branch: RELEASE_3_18 git_last_commit: 1c599c7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/oct4_1.18.0.tar.gz vignettes: vignettes/oct4/inst/doc/oct4.html vignetteTitles: Salmon quantifications for condition OCT4 knockdown in mouse ESCs hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/oct4/inst/doc/oct4.R dependencyCount: 0 Package: octad.db Version: 1.4.0 Depends: R (>= 4.2.0), ExperimentHub Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: ef8723031fea32015ee26dbf30d2c8ba NeedsCompilation: no Title: Open Cancer TherApeutic Discovery (OCTAD) database Description: Open Cancer TherApeutic Discovery (OCTAD) package implies sRGES approach for the drug discovery. The essential idea is to identify drugs that reverse the gene expression signature of a disease by tamping down over-expressed genes and stimulating weakly expressed ones. The following package contains all required precomputed data for whole OCTAD pipeline computation. biocViews: ExperimentData, CancerData, ExperimentHub, SequencingData, ExpressionData Author: E. Chekalin [aut, cre], S. Paithankar [aut], B. Zeng [aut], B. Glicksberg [ctb], P. Newbury [ctb], J. Xing [ctb], K. Liu [ctb], A. Wen [ctb], D. Joseph [ctb], B. Chen [aut] Maintainer: E. Chekalin VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/octad.db git_branch: RELEASE_3_18 git_last_commit: be738ab git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/octad.db_1.4.0.tar.gz vignettes: vignettes/octad.db/inst/doc/octad.db.html vignetteTitles: octad.db hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/octad.db/inst/doc/octad.db.R dependsOnMe: octad dependencyCount: 95 Package: OMICsPCAdata Version: 1.20.0 Depends: R (>= 3.5.0), MultiAssayExperiment Suggests: knitr, kableExtra, rmarkdown License: GPL-3 MD5sum: ba3167fdf846cb80aea07162b88c9b73 NeedsCompilation: no Title: Supporting data for package OMICsPCA Description: Supporting data for package OMICsPCA biocViews: RepositoryData, TechnologyData, ChIPSeqData, SequencingData, ExpressionData, ENCODE Author: Subhadeep Das Maintainer: Subhadeep Das VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/OMICsPCAdata git_branch: RELEASE_3_18 git_last_commit: 8b2188e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/OMICsPCAdata_1.20.0.tar.gz vignettes: vignettes/OMICsPCAdata/inst/doc/vignettes.html vignetteTitles: OMICsPCAdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/OMICsPCAdata/inst/doc/vignettes.R dependsOnMe: OMICsPCA dependencyCount: 52 Package: OnassisJavaLibs Version: 1.24.0 Depends: R (>= 3.4) Imports: rJava Suggests: BiocStyle, rmarkdown, knitr License: GPL-2 MD5sum: 88d86bc7e7d339146ba7ea689c2d8080 NeedsCompilation: no Title: OnassisJavaLibs, java libraries to run conceptmapper and semantic similarity Description: A package that contains java libraries to call conceptmapper and compute semnatic similarity from R biocViews: ExperimentData Author: Eugenia Galeota Maintainer: Eugenia Galeota SystemRequirements: Java (>= 1.8) VignetteBuilder: rmarkdown, knitr git_url: https://git.bioconductor.org/packages/OnassisJavaLibs git_branch: RELEASE_3_18 git_last_commit: 6cccb77 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/OnassisJavaLibs_1.24.0.tar.gz vignettes: vignettes/OnassisJavaLibs/inst/doc/OnassisJavaLibs.html vignetteTitles: OnassisJavaLibs: Java Libraries to support Onassis,, Ontology Annotation and Semantic Similarity software hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/OnassisJavaLibs/inst/doc/OnassisJavaLibs.R dependencyCount: 2 Package: optimalFlowData Version: 1.14.0 Depends: R (>= 4.0) Suggests: knitr, BiocStyle, rmarkdown, magick License: Artistic-2.0 MD5sum: 790ea8af88ecf90abafdef9a7c4abb08 NeedsCompilation: no Title: optimalFlowData Description: Data files used as examples and for testing of the software provided in the optimalFlow package. biocViews: ExperimentData, PackageTypeData, ImmunoOncologyData, FlowCytometryData Author: Hristo Inouzhe Maintainer: Hristo Inouzhe VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/optimalFlowData git_branch: RELEASE_3_18 git_last_commit: 11b8946 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/optimalFlowData_1.14.0.tar.gz vignettes: vignettes/optimalFlowData/inst/doc/optimalFlowData_vignette.html vignetteTitles: optimalFlow: optimal-transport approach to Flow Cytometry analysis hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/optimalFlowData/inst/doc/optimalFlowData_vignette.R dependsOnMe: optimalFlow dependencyCount: 0 Package: orthosData Version: 1.0.0 Imports: AnnotationHub, BiocFileCache, ExperimentHub, HDF5Array, stringr, SummarizedExperiment Suggests: BiocStyle, ggplot2, knitr, rmarkdown, testthat License: MIT + file LICENSE MD5sum: 7970587455fa5197daf1f6b640b7f688 NeedsCompilation: no Title: Data for the orthos package Description: `orthosData` is the companion ExperimentData package to the `orthos` R package for mechanistic studies using differential gene expression experiments. It provides functions for retrieval from ExperimentHub and local caching of the models and datasets used internally in orthos. biocViews: ExperimentData, RNASeqData, ExperimentHub Author: Panagiotis Papasaikas [aut, cre] (), Charlotte Soneson [aut] (), Michael Stadler [aut] (), Friedrich Miescher Institute for Biomedical Research [cph] Maintainer: Panagiotis Papasaikas URL: https://github.com/fmicompbio/orthosData VignetteBuilder: knitr BugReports: https://github.com/fmicompbio/orthosData/issues git_url: https://git.bioconductor.org/packages/orthosData git_branch: RELEASE_3_18 git_last_commit: b14e691 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/orthosData_1.0.0.tar.gz vignettes: vignettes/orthosData/inst/doc/orthosData.html vignetteTitles: 1. Introduction to orthos hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/orthosData/inst/doc/orthosData.R importsMe: orthos dependencyCount: 110 Package: parathyroidSE Version: 1.40.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: Rsamtools, GenomicAlignments, GEOquery, SRAdb, GenomicFeatures, BiocStyle License: LGPL MD5sum: e4d06f888feb4015273e20b14f8ee37a NeedsCompilation: no Title: RangedSummarizedExperiment for RNA-Seq of primary cultures of parathyroid tumors by Haglund et al., J Clin Endocrinol Metab 2012. Description: This package provides RangedSummarizedExperiment objects of read counts in genes and exonic parts for paired-end RNA-Seq data from experiments on primary cultures of parathyroid tumors. The data were presented in the article "Evidence of a Functional Estrogen Receptor in Parathyroid Adenomas" by Haglund F, Ma R, Huss M, Sulaiman L, Lu M, Nilsson IL, Hoog A, Juhlin CC, Hartman J, Larsson C, J Clin Endocrinol Metab. jc.2012-2484, Epub 2012 Sep 28, PMID: 23024189. The sequencing was performed on tumor cultures from 4 patients at 2 time points over 3 conditions (DPN, OHT and control). One control sample was omitted by the paper authors due to low quality. The package vignette describes the creation of the object from raw sequencing data provided by NCBI Gene Expression Omnibus under accession number GSE37211. The gene and exon features are the GRCh37 Ensembl annotations. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love git_url: https://git.bioconductor.org/packages/parathyroidSE git_branch: RELEASE_3_18 git_last_commit: e1715eb git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/parathyroidSE_1.40.0.tar.gz vignettes: vignettes/parathyroidSE/inst/doc/parathyroidSE.pdf vignetteTitles: parathyroidGenesSE hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/parathyroidSE/inst/doc/parathyroidSE.R suggestsMe: ClassifyR, DEXSeq dependencyCount: 29 Package: pasilla Version: 1.30.0 Depends: R (>= 3.5.0), DEXSeq Suggests: rmarkdown, BiocStyle, knitr, roxygen2 License: LGPL MD5sum: e1fbdd57136d8a29edd1e0164dc2412e NeedsCompilation: no Title: Data package with per-exon and per-gene read counts of RNA-seq samples of Pasilla knock-down by Brooks et al., Genome Research 2011. Description: This package provides per-exon and per-gene read counts computed for selected genes from RNA-seq data that were presented in the article "Conservation of an RNA regulatory map between Drosophila and mammals" by Brooks AN, Yang L, Duff MO, Hansen KD, Park JW, Dudoit S, Brenner SE, Graveley BR, Genome Res. 2011 Feb;21(2):193-202, Epub 2010 Oct 4, PMID: 20921232. The experiment studied the effect of RNAi knockdown of Pasilla, the Drosophila melanogaster ortholog of mammalian NOVA1 and NOVA2, on the transcriptome. The package vignette describes how the data provided here were derived from the RNA-Seq read sequence data that are provided by NCBI Gene Expression Omnibus under accession numbers GSM461176 to GSM461181. biocViews: ExperimentData, Genome, Drosophila_melanogaster_Data, RNASeqData Author: Wolfgang Huber, Alejandro Reyes Maintainer: Alejandro Reyes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/pasilla git_branch: RELEASE_3_18 git_last_commit: edbc4d8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pasilla_1.30.0.tar.gz vignettes: vignettes/pasilla/inst/doc/create_objects.html vignetteTitles: "Data preprocessing and creation of the data objects pasillaGenes and pasillaExons" hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pasilla/inst/doc/create_objects.R importsMe: blacksheepr suggestsMe: BADER, DESeq2, DEXSeq, EnhancedVolcano, gsean, regionReport, ReportingTools, tidybulk, pasillaBamSubset dependencyCount: 118 Package: pasillaBamSubset Version: 0.40.0 Suggests: pasilla License: LGPL MD5sum: 8fd05eac2d37650e157871908cbaf306 NeedsCompilation: no Title: Subset of BAM files from "Pasilla" experiment Description: Subset of BAM files untreated1.bam (single-end reads) and untreated3.bam (paired-end reads) from "Pasilla" experiment (Pasilla knock-down by Brooks et al., Genome Research 2011). See the vignette in the pasilla data package for how BAM files untreated1.bam and untreated3.bam were obtained from the RNA-Seq read sequence data that is provided by NCBI Gene Expression Omnibus under accession numbers GSM461176 to GSM461181. Also contains the DNA sequence for fly chromosome 4 to which the reads can be mapped. biocViews: ExperimentData, Genome, DNASeqData, RNASeqData Author: Hervé Pagès Maintainer: Hervé Pagès git_url: https://git.bioconductor.org/packages/pasillaBamSubset git_branch: RELEASE_3_18 git_last_commit: 7254146 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pasillaBamSubset_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: APAlyzer, DEXSeq, GenomicAlignments, GenomicFeatures, GenomicRanges, gmoviz, IRanges, karyoploteR, plyranges, TransView dependencyCount: 0 Package: PasillaTranscriptExpr Version: 1.30.0 Depends: R (>= 3.3.0) Suggests: rtracklayer, BiocStyle, knitr, testthat License: GPL (>= 3) MD5sum: 7d1d8c852fff7d80c11e8ab79dae7487 NeedsCompilation: no Title: Data package with transcript expression obtained with kallisto from pasilla knock-down RNA-Seq data from Brooks et al. Description: Provides kallisto workflow and transcript expression of RNA-Seq data from Brooks et al. biocViews: Drosophila_melanogaster_Data, Genome, RNASeqData, ExperimentData, SequencingData, ExpressionData, GEO Author: Malgorzata Nowicka [aut, cre] Maintainer: Malgorzata Nowicka VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/PasillaTranscriptExpr git_branch: RELEASE_3_18 git_last_commit: 7260020 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PasillaTranscriptExpr_1.30.0.tar.gz vignettes: vignettes/PasillaTranscriptExpr/inst/doc/PasillaTranscriptExpr.pdf vignetteTitles: Generation of transcript counts from pasilla dataset with kallisto hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/PasillaTranscriptExpr/inst/doc/PasillaTranscriptExpr.R suggestsMe: DRIMSeq dependencyCount: 0 Package: PathNetData Version: 1.38.0 Depends: R (>= 1.14.0) License: GPL-3 MD5sum: d72e955b33c92f1703ae072ec788c1d9 NeedsCompilation: no Title: Experimental data for the PathNet package Description: This package contains the data employed in the vignette of the PathNet package. These data belong to the following publication: PathNet: A tool for pathway analysis using topological information. Dutta B, Wallqvist A, and Reifman J., Source Code for Biology and Medicine 2012 Sep 24;7(1):10. biocViews: ExperimentData, PathwayInteractionDatabase Author: Bhaskar Dutta , Anders Wallqvist , and Jaques Reifman Maintainer: Ludwig Geistlinger git_url: https://git.bioconductor.org/packages/PathNetData git_branch: RELEASE_3_18 git_last_commit: 165b129 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PathNetData_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PathNet dependencyCount: 0 Package: PCHiCdata Version: 1.30.0 Depends: R (>= 3.2), Chicago Suggests: testthat, BiocStyle, knitr License: Artistic-2.0 MD5sum: 8791902075a44ae03c0366150aa3f61e NeedsCompilation: no Title: Promoter Capture Hi-C data Description: Subsets of Promoter Capture Hi-C data conveniently packaged for Chicago users. Data includes interactions detected for chromosomes 20 and 21 in GM12878 cells and for chromosomes 18 and 19 in mESC. biocViews: ExperimentData, SequencingData, Homo_sapiens_Data, Mus_musculus_Data, StemCell Author: Paula Freire-Pritchett, Jonathan Cairns, Steven Wingett, Mikhail Spivakov Maintainer: Mikhail Spivakov VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/PCHiCdata git_branch: RELEASE_3_18 git_last_commit: 95d1911 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PCHiCdata_1.30.0.tar.gz vignettes: vignettes/PCHiCdata/inst/doc/PCHiCdata.html vignetteTitles: PCHiCdata Vignette hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/PCHiCdata/inst/doc/PCHiCdata.R suggestsMe: Chicago dependencyCount: 77 Package: pcxnData Version: 2.24.0 Depends: R (>= 3.4) Suggests: pcxn License: MIT + file LICENSE MD5sum: 7814b1a6f5dbd08e71df1e92ea4328f6 NeedsCompilation: no Title: Correlation coefficients and p values between pre-defined pathway/gene sets Description: PCxN database contains correlation coefficients and p values between pre-defined gene sets within MSigDB H hallmark gene sets, MSigDB C2 CP (Canonical pathways), MSigDB C5 GO BP gene sets and Pathprint respectively, as well as adjusted pathway correlations to account for the shared genes between pathway pairs. biocViews: ExperimentData, ExpressionData, MicroarrayData, GEO, Homo_sapiens_Data, OneChannelData, PathwayInteractionDatabase Author: Sokratis Kariotis, Yered Pita-Juarez, Wenbin Wei, Winston Hide Maintainer: Sokratis Kariotis git_url: https://git.bioconductor.org/packages/pcxnData git_branch: RELEASE_3_18 git_last_commit: a61d0af git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pcxnData_2.24.0.tar.gz vignettes: vignettes/pcxnData/inst/doc/usingpcxnData.pdf vignetteTitles: pcxnData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/pcxnData/inst/doc/usingpcxnData.R dependsOnMe: pcxn dependencyCount: 0 Package: pd.atdschip.tiling Version: 0.40.0 Depends: R (>= 3.5.0), methods, RSQLite (>= 0.10.0), oligoClasses (>= 1.15.58), oligo (>= 1.17.3), DBI Imports: Biostrings (>= 2.21.11), IRanges (>= 1.11.31), S4Vectors License: Artistic-2.0 MD5sum: a81ffdc7dfb8eb04e09ec133db77d0d4 NeedsCompilation: no Title: Platform Design Info for Affymetrix Atdschip_tiling Description: Platform Design Info for Affymetrix Atdschip_tiling biocViews: Arabidopsis_thaliana_Data, MicroarrayData, SNPData Author: Kristof De Beuf Maintainer: Kristof De Beuf git_url: https://git.bioconductor.org/packages/pd.atdschip.tiling git_branch: RELEASE_3_18 git_last_commit: 6baaf71 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pd.atdschip.tiling_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 57 Package: pepDat Version: 1.22.0 Depends: R (>= 3.5.0) Imports: GenomicRanges Suggests: knitr License: Artistic-2.0 MD5sum: 4ce373369604b54b15e5992ebe9355b9 NeedsCompilation: no Title: Peptide microarray data package Description: Provides sample files and data for the vignettes of pepStat and Pviz as well as peptide collections for HIV and SIV. biocViews: MicroarrayData Author: Renan Sauteraud, Raphael Gottardo Maintainer: Renan Sauteraud VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/pepDat git_branch: RELEASE_3_18 git_last_commit: c230a94 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pepDat_1.22.0.tar.gz vignettes: vignettes/pepDat/inst/doc/pepDat.pdf vignetteTitles: The pepDat users guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pepDat/inst/doc/pepDat.R suggestsMe: pepStat, Pviz dependencyCount: 16 Package: PepsNMRData Version: 1.20.0 Depends: R (>= 3.5) Suggests: knitr, markdown, rmarkdown, BiocStyle License: GPL-2 | file LICENSE MD5sum: 96fc9090499b4460f72fb85a0428b357 NeedsCompilation: no Title: Datasets for the PepsNMR package Description: This package contains all the datasets used in the PepsNMR package. biocViews: ExperimentData, OrganismData, Homo_sapiens_Data Author: Manon Martin [aut, cre], Bernadette Govaerts [aut, ths], Pascal de Tullio [dtc] Maintainer: Manon Martin BugReports: https://github.com/ManonMartin/PepsNMRData/issues git_url: https://git.bioconductor.org/packages/PepsNMRData git_branch: RELEASE_3_18 git_last_commit: 9f8300f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PepsNMRData_1.20.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: PepsNMR dependencyCount: 0 Package: PhyloProfileData Version: 1.16.0 Depends: R (>= 4.1.0) Imports: ExperimentHub, Biostrings, BiocStyle Suggests: knitr, rmarkdown, markdown License: MIT + file LICENSE MD5sum: 68dda32e9151c0aba4eb5b29c0313f83 NeedsCompilation: yes Title: Data package for phylogenetic profile analysis using PhyloProfile tool Description: Two experimental datasets to illustrate running and analysing phylogenetic profiles with PhyloProfile package. biocViews: ExperimentData, ReproducibleResearch, ExperimentHub Author: Vinh Tran [aut, cre], Ingo Ebersberger [aut], Hannah Mülbaier [ctb], Arpit Jain [ctb] Maintainer: Vinh Tran URL: https://github.com/BIONF/PhyloProfileData VignetteBuilder: knitr BugReports: https://github.com/trvinh/PhyloProfileData/issues git_url: https://git.bioconductor.org/packages/PhyloProfileData git_branch: RELEASE_3_18 git_last_commit: a7660cf git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PhyloProfileData_1.16.0.tar.gz vignettes: vignettes/PhyloProfileData/inst/doc/PhyloProfileData.html vignetteTitles: PhyloProfileData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/PhyloProfileData/inst/doc/PhyloProfileData.R dependencyCount: 97 Package: plotgardenerData Version: 1.8.0 Depends: R (>= 4.1.0) Suggests: rmarkdown, knitr License: MIT + file LICENSE MD5sum: 96055b11818bd59c0c91977b34973608 NeedsCompilation: no Title: Datasets and test data files for the plotgardener package Description: This is a supplemental data package for the plotgardener package. Includes example datasets used in plotgardener vignettes and example raw data files. For details on how to use these datasets, see the plotgardener package vignettes. biocViews: ExperimentData, Homo_sapiens_Data, ExpressionData, Genome, ChIPSeqData, ENCODE Author: Nicole Kramer [aut, cre] () Maintainer: Nicole Kramer URL: https://github.com/PhanstielLab/plotgardenerData, https://phanstiellab.github.io/plotgardener VignetteBuilder: knitr BugReports: https://github.com/PhanstielLab/plotgardenerData/issues git_url: https://git.bioconductor.org/packages/plotgardenerData git_branch: RELEASE_3_18 git_last_commit: d513787 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/plotgardenerData_1.8.0.tar.gz vignettes: vignettes/plotgardenerData/inst/doc/plotgardenerData.html vignetteTitles: plotgardenerData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/plotgardenerData/inst/doc/plotgardenerData.R suggestsMe: plotgardener dependencyCount: 0 Package: prebsdata Version: 1.38.0 Depends: R (>= 2.14.0) License: Artistic-2.0 MD5sum: a1c6aee2732035357adc3e2cb99d6bcc NeedsCompilation: no Title: Data for 'prebs' package Description: This package contains data required to run examples in 'prebs' package. The data files include: 1) Small sample bam files for demonstration purposes 2) Probe sequence mappings for Custom CDF (taken from http://brainarray.mbni.med.umich.edu/brainarray/Database/CustomCDF/genomic_curated_CDF.asp) 3) Probe sequence mappings for manufacturer's CDF (manually created using bowtie) biocViews: ExperimentData, SequencingData, RNASeqData Author: Karolis Uziela and Antti Honkela Maintainer: Karolis Uziela git_url: https://git.bioconductor.org/packages/prebsdata git_branch: RELEASE_3_18 git_last_commit: 893ae5e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prebsdata_1.38.0.tar.gz vignettes: vignettes/prebsdata/inst/doc/prebsdata.pdf vignetteTitles: prebsdata User Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: prebs, SigFuge dependencyCount: 0 Package: preciseTADhub Version: 1.10.0 Depends: R (>= 4.1) Imports: ExperimentHub Suggests: knitr, rmarkdown, markdown, BiocStyle, preciseTAD License: MIT + file LICENSE MD5sum: bff4bbf0a4ac1abf21ff72ad4346795c NeedsCompilation: no Title: Pre-trained random forest models obtained using preciseTAD Description: An experimentdata package to supplement the preciseTAD package containing pre-trained models and the variable importances of each genomic annotation used to build the model parsed into list objects and available in ExperimentHub. In total, preciseTADhub provides access to n=84 random forest classification models optimized to predict TAD/chromatin loop boundary regions and stored as .RDS files. The value, n, comes from the fact that we considered l=2 cell lines {GM12878, K562}, g=2 ground truth boundaries {Arrowhead, Peakachu}, and c=21 autosomal chromosomes {CHR1, CHR2, ..., CHR22} (omitting CHR9). Furthermore, each object is itself a two-item list containing: (1) the model object, and (2) the variable importances for CTCF, RAD21, SMC3, and ZNF143 used to predict boundary regions. Each model is trained via a "holdout" strategy, in which data from chromosomes {CHR1, CHR2, ..., CHRi-1, CHRi+1, ..., CHR22} were used to build the model and the ith chromosome was reserved for testing. See https://doi.org/10.1101/2020.09.03.282186 for more detail on the model building strategy. biocViews: ExperimentData, PackageTypeData, ExperimentHub, Genome Author: Spiro Stilianoudakis [aut], Mikhail Dozmorov [aut, cre] Maintainer: Mikhail Dozmorov URL: https://github.com/dozmorovlab/preciseTADhub VignetteBuilder: knitr BugReports: https://github.com/dozmorovlab/preciseTADhub/issues git_url: https://git.bioconductor.org/packages/preciseTADhub git_branch: RELEASE_3_18 git_last_commit: e239e2a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/preciseTADhub_1.10.0.tar.gz vignettes: vignettes/preciseTADhub/inst/doc/preciseTADhub.html vignetteTitles: preciseTADhub hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/preciseTADhub/inst/doc/preciseTADhub.R dependencyCount: 95 Package: PREDAsampledata Version: 0.42.0 Depends: R (>= 2.10.0), methods, PREDA, Biobase, affy, annotate Suggests: hgu133plus2.db, hgu133plus2cdf License: Artistic-2.0 MD5sum: 5acce57384c00a56d658281ba4fa57e5 NeedsCompilation: no Title: expression and copy number data on clear cell renal carcinoma samples Description: Sample data for PREDA package. (annotations objects synchronized with GeneAnnot custom CDFs version 2.2.0) biocViews: ExperimentData, Tissue, CancerData, KidneyCancerData, MicroarrayData, TissueMicroarrayData, ArrayExpress Author: I. Cifola et al. in Cristina Battaglia Lab, University of Milan Maintainer: Francesco Ferrari git_url: https://git.bioconductor.org/packages/PREDAsampledata git_branch: RELEASE_3_18 git_last_commit: cab6a54 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PREDAsampledata_0.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PREDA dependencyCount: 63 Package: ProData Version: 1.40.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5) License: GPL MD5sum: 73f3449db86899c83d61173f6bd02a79 NeedsCompilation: no Title: SELDI-TOF data of Breast cancer samples Description: A data package of SELDI-TOF protein mass spectrometry data of 167 breast cancer and normal samples. biocViews: ExperimentData, CancerData, BreastCancerData, MassSpectrometryData, NCI Author: Xiaochun Li Maintainer: Xiaochun Li git_url: https://git.bioconductor.org/packages/ProData git_branch: RELEASE_3_18 git_last_commit: dd11bac git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ProData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CorrectedFDR dependencyCount: 6 Package: pRolocdata Version: 1.40.0 Depends: R (>= 3.6.3), MSnbase Imports: Biobase, utils Suggests: pRoloc (>= 1.13.8), testthat, SummarizedExperiment License: GPL-2 MD5sum: 8aafd04221b21588077788ec79272e1a NeedsCompilation: no Title: Data accompanying the pRoloc package Description: Mass-spectrometry based spatial proteomics data sets and protein complex separation data. Also contains the time course expression experiment from Mulvey et al. 2015. biocViews: ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, Mus_musculus_Data, StemCell, Proteome Author: Laurent Gatto [aut, cre] (), Oliver Crook [aut] (), Lisa Breckels [aut] () Maintainer: Laurent Gatto URL: https://github.com/lgatto/pRolocdata BugReports: https://github.com/lgatto/pRolocdata/issues git_url: https://git.bioconductor.org/packages/pRolocdata git_branch: RELEASE_3_18 git_last_commit: f562738 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pRolocdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: bandle suggestsMe: MSnbase, pRoloc, pRolocGUI, RforProteomics dependencyCount: 77 Package: prostateCancerCamcap Version: 1.30.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 5a27ee47f07162569e5e1e06ffd69886 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Ross-Adams (2015) Prostate Cancer dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerCamcap git_branch: RELEASE_3_18 git_last_commit: 235e74b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prostateCancerCamcap_1.30.0.tar.gz vignettes: vignettes/prostateCancerCamcap/inst/doc/prostateCancerCamcap.pdf vignetteTitles: prostateCancerCamcap hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerCamcap/inst/doc/prostateCancerCamcap.R dependencyCount: 6 Package: prostateCancerGrasso Version: 1.30.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: c331c996d943a14687439dfdf37b8029 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Grasso (2012) Prostate Cancer dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerGrasso git_branch: RELEASE_3_18 git_last_commit: ad12312 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prostateCancerGrasso_1.30.0.tar.gz vignettes: vignettes/prostateCancerGrasso/inst/doc/prostateCancerGrasso.pdf vignetteTitles: prostateCancerGrasso hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerGrasso/inst/doc/prostateCancerGrasso.R dependencyCount: 6 Package: prostateCancerStockholm Version: 1.30.0 Depends: Biobase , R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: 49326bf3b6f66be78fa1e6d6768b5538 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Stockholm dataset biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerStockholm git_branch: RELEASE_3_18 git_last_commit: ab4142f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prostateCancerStockholm_1.30.0.tar.gz vignettes: vignettes/prostateCancerStockholm/inst/doc/prostateCancerStockholm.pdf vignetteTitles: prostateCancerStockholm hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerStockholm/inst/doc/prostateCancerStockholm.R dependencyCount: 6 Package: prostateCancerTaylor Version: 1.30.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery, org.Hs.eg.db License: Artistic-2.0 MD5sum: c90ff79776e9a658d4cf05e9a29706a8 NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Taylor et al (2010) dataset. biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerTaylor git_branch: RELEASE_3_18 git_last_commit: 095c4c3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prostateCancerTaylor_1.30.0.tar.gz vignettes: vignettes/prostateCancerTaylor/inst/doc/prostateCancerTaylor.pdf vignetteTitles: prostateCancerTaylor hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerTaylor/inst/doc/prostateCancerTaylor.R dependencyCount: 6 Package: prostateCancerVarambally Version: 1.30.0 Depends: Biobase, R (>= 3.3) Suggests: GEOquery License: Artistic-2.0 MD5sum: cf8fc1872af8c5c2b47372ce94ed4c5c NeedsCompilation: no Title: Prostate Cancer Data Description: A Bioconductor data package for the Varambally dataset biocViews: ExperimentData, ExpressionData,GEO, MicroarrayData, CancerData, ProstateCancerData Author: Mark Dunning Maintainer: Mark Dunning git_url: https://git.bioconductor.org/packages/prostateCancerVarambally git_branch: RELEASE_3_18 git_last_commit: 3c16ae4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/prostateCancerVarambally_1.30.0.tar.gz vignettes: vignettes/prostateCancerVarambally/inst/doc/prostateCancerVarambally.pdf vignetteTitles: prostateCancerVarambally hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/prostateCancerVarambally/inst/doc/prostateCancerVarambally.R dependencyCount: 6 Package: ptairData Version: 1.10.0 Imports: rhdf5, signal, stats, graphics Suggests: knitr, rmarkdown, testthat, BiocStyle License: GPL-3 MD5sum: eea0fcfdd0047d72092a3b6beb326129 NeedsCompilation: no Title: PTR-TOF-MS volatolomics raw datasets from exhaled air and cell culture headspace Description: The package ptairData contains two raw datasets from Proton-Transfer-Reaction Time-of-Flight mass spectrometer acquisitions (PTR-TOF-MS), in the HDF5 format. One from the exhaled air of two volunteer healthy individuals with three replicates, and one from the cell culture headspace from two mycobacteria species and one control (culture medium only) with two replicates. Those datasets are used in the examples and in the vignette of the ptairMS package (PTR-TOF-MS data pre-processing). There are also used to gererate the ptrSet in the ptairMS data : exhaledPtrset and mycobacteriaSet biocViews: ExperimentData, MassSpectrometryData, CellCulture Author: camille Roquencourt [aut, cre] Maintainer: camille Roquencourt VignetteBuilder: knitr BugReports: https://github.com/camilleroquencourt/ptairData/issues git_url: https://git.bioconductor.org/packages/ptairData git_branch: RELEASE_3_18 git_last_commit: 8d2c280 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/ptairData_1.10.0.tar.gz vignettes: vignettes/ptairData/inst/doc/ptairData_vignette.html vignetteTitles: PTR-TOF-MS dataset hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/ptairData/inst/doc/ptairData_vignette.R suggestsMe: ptairMS dependencyCount: 13 Package: PtH2O2lipids Version: 1.28.0 Depends: R (>= 3.3), xcms, CAMERA, LOBSTAHS, methods, utils Suggests: gplots, RColorBrewer, cluster, vegan License: MIT + file LICENSE MD5sum: 498d573bc33e7566708c38be5098bb2e NeedsCompilation: no Title: P. tricornutum HPLC-ESI-MS Lipid Data from van Creveld et al. (2015) Description: Annotated HPLC-ESI-MS lipid data in positive ionization mode from an experiment in which cultures of the marine diatom Phaeodactylum tricornutum were treated with various concentrations of hydrogen peroxide (H2O2) to induce oxidative stress. The experiment is described in Graff van Creveld, et al., 2015, "Early perturbation in mitochondria redox homeostasis in response to environmental stress predicts cell fate in diatoms," ISME Journal 9:385-395. PtH2O2lipids consists of two objects: A CAMERA xsAnnotate object (ptH2O2lipids$xsAnnotate) and LOBSTAHS LOBSet object (ptH2O2lipids$xsAnnotate$LOBSet). The LOBSet includes putative compound assignments from the default LOBSTAHS database. Isomer annotation is recorded in three other LOBSet slots. biocViews: ReproducibleResearch, CellCulture, MassSpectrometryData, Phaeodactylum_tricornutum_data Author: Shiri Graff van Creveld [aut], Shilo Rosenwasser [aut], Daniella Schatz [aut], Ilan Koren [aut], Assaf Vardi [aut], James Collins [cre] Maintainer: James Collins URL: http://dx.doi.org/10.1038/ismej.2014.136, https://github.com/vanmooylipidomics/PtH2O2lipids, http://www.whoi.edu/page.do?pid=133616&tid=282&cid=192529 BugReports: https://github.com/vanmooylipidomics/PtH2O2lipids/issues/new git_url: https://git.bioconductor.org/packages/PtH2O2lipids git_branch: RELEASE_3_18 git_last_commit: 395bc4c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PtH2O2lipids_1.28.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE suggestsMe: LOBSTAHS dependencyCount: 165 Package: pumadata Version: 2.38.0 Depends: R (>= 3.2.0), Biobase (>= 2.5.5),puma, oligo(>= 1.32.0) License: LGPL MD5sum: 811d6234d1d4e310beb7111601b157b7 NeedsCompilation: no Title: Various data sets for use with the puma package Description: This is a simple data package including various data sets derived from the estrogen data for use with the puma (Propagating Uncertainty in Microarray Analysis) package. biocViews: ExperimentData, MicroarrayData, SNPData Author: Richard Pearson Maintainer: Xuejun liu URL: http://umber.sbs.man.ac.uk/resources/puma git_url: https://git.bioconductor.org/packages/pumadata git_branch: RELEASE_3_18 git_last_commit: da7fe7e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/pumadata_2.38.0.tar.gz vignettes: vignettes/pumadata/inst/doc/pumadata.pdf vignetteTitles: pumadata User Guide hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/pumadata/inst/doc/pumadata.R suggestsMe: puma dependencyCount: 60 Package: PWMEnrich.Dmelanogaster.background Version: 4.36.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: b671ba0cff5c0c6017fd3f72d0afc547 NeedsCompilation: no Title: D. melanogaster background for PWMEnrich Description: PWMEnrich pre-compiled background objects for Drosophila melanogaster and MotifDb D. melanogaster motifs. biocViews: Drosophila_melanogaster_Data Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Dmelanogaster.background git_branch: RELEASE_3_18 git_last_commit: 22c7fe3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PWMEnrich.Dmelanogaster.background_4.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: PWMEnrich.Hsapiens.background Version: 4.36.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: 7c7b177c29fc31c7546d4e7160a9b977 NeedsCompilation: no Title: H. sapiens background for PWMEnrich Description: PWMEnrich pre-compiled background objects for H. sapiens (human) and MotifDb H. sapiens motifs. biocViews: Homo_sapiens_Data, CGHData Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Hsapiens.background git_branch: RELEASE_3_18 git_last_commit: 6cee4b8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PWMEnrich.Hsapiens.background_4.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: PWMEnrich.Mmusculus.background Version: 4.36.0 Depends: R (>= 2.10), methods, PWMEnrich License: GPL-3 MD5sum: 5d54401a941d1efe7148da2ddc714d65 NeedsCompilation: no Title: M. musculus background for PWMEnrich Description: PWMEnrich pre-compiled background objects for M.musculus (mouse) and MotifDb M. musculus motifs. biocViews: Mus_musculus_Data Author: Robert Stojnic Maintainer: Diego Diez git_url: https://git.bioconductor.org/packages/PWMEnrich.Mmusculus.background git_branch: RELEASE_3_18 git_last_commit: 793d412 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/PWMEnrich.Mmusculus.background_4.36.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PWMEnrich dependencyCount: 24 Package: QDNAseq.hg19 Version: 1.32.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 2b663d8771f16d55db88ec3321942ead NeedsCompilation: no Title: QDNAseq bin annotation for hg19 Description: This package provides QDNAseq bin annotations for the human genome build hg19. biocViews: ExperimentData, OrganismData, Homo_sapiens_Data Author: Daoud Sie [aut, cre] Maintainer: Daoud Sie URL: https://github.com/tgac-vumc/QDNAseq.hg19 BugReports: https://github.com/tgac-vumc/QDNAseq.hg19/issues git_url: https://git.bioconductor.org/packages/QDNAseq.hg19 git_branch: RELEASE_3_18 git_last_commit: 6a5bd78 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/QDNAseq.hg19_1.32.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biscuiteer, QDNAseq dependencyCount: 51 Package: QDNAseq.mm10 Version: 1.32.0 Depends: R (>= 3.2.1), QDNAseq License: GPL MD5sum: 2d7b80c2bec7146aec28384b7875acca NeedsCompilation: no Title: Bin annotation mm10 Description: This package provides QDNAseq bin annotations for the mouse genome build mm10. biocViews: ExperimentData, OrganismData, Mus_musculus_Data Author: Daoud Sie [aut, cre] Maintainer: Daoud Sie URL: https://github.com/tgac-vumc/QDNAseq.mm10 BugReports: https://github.com/tgac-vumc/QDNAseq.mm10/issues git_url: https://git.bioconductor.org/packages/QDNAseq.mm10 git_branch: RELEASE_3_18 git_last_commit: 91e71ca git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/QDNAseq.mm10_1.32.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: biscuiteer, QDNAseq dependencyCount: 51 Package: qPLEXdata Version: 1.20.0 Depends: R (>= 3.5), qPLEXanalyzer Imports: utils, knitr, MSnbase, dplyr Suggests: statmod License: GPL-2 MD5sum: af947f54391fc79c81308890b1e95d96 NeedsCompilation: no Title: Data accompanying qPLEXanalyzer package Description: qPLEX-RIME and Full proteome TMT mass spectrometry datasets. biocViews: ExperimentData, MassSpectrometryData, Proteome Author: Kamal Kishore Developer [aut, cre] Maintainer: Kamal Kishore Developer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/qPLEXdata git_branch: RELEASE_3_18 git_last_commit: a5d56e2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/qPLEXdata_1.20.0.tar.gz vignettes: vignettes/qPLEXdata/inst/doc/qPLEXdata.pdf vignetteTitles: qPLEXdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/qPLEXdata/inst/doc/qPLEXdata.R suggestsMe: qPLEXanalyzer dependencyCount: 109 Package: QUBICdata Version: 1.30.0 Depends: R (>= 3.1) Suggests: knitr, rmarkdown License: Unlimited | file LICENSE MD5sum: 0670dfaee6f8d532cf3506428a5932c1 NeedsCompilation: no Title: Data employed in the vignette of the QUBIC package Description: The data employed in the vignette of the QUBIC package. These data belong to Many Microbe Microarrays Database and STRING v10. biocViews: Escherichia_coli_Data, OrganismData, ExperimentData Author: Yu Zhang [aut, cre], Qin Ma [aut] Maintainer: Yu Zhang URL: http://github.com/zy26/QUBICdata VignetteBuilder: knitr BugReports: http://github.com/zy26/QUBICdata/issues git_url: https://git.bioconductor.org/packages/QUBICdata git_branch: RELEASE_3_18 git_last_commit: 6da9024 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/QUBICdata_1.30.0.tar.gz vignettes: vignettes/QUBICdata/inst/doc/qubic_data_vignette.pdf vignetteTitles: QUBIC Data Tutorial hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/QUBICdata/inst/doc/qubic_data_vignette.R suggestsMe: QUBIC dependencyCount: 0 Package: raerdata Version: 1.0.0 Imports: ExperimentHub, Rsamtools, BiocGenerics, rtracklayer, SingleCellExperiment Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0) License: MIT + file LICENSE MD5sum: 8f250d12f89396f8d4351da5045cf22c NeedsCompilation: no Title: A collection of datasets for use with raer package Description: raerdata is an ExperimentHub package that provides a collection of files useful for demostrating functionality in the raer package. Datasets include 10x genomics scRNA-seq, bulk RNA-seq, and paired whole-genome and RNA-seq data. Additionally databases of human and mouse RNA editing sites are provided. biocViews: SingleCellData, SequencingData, RNASeqData, ExperimentHub, PackageTypeData, ExpressionData Author: Kent Riemondy [aut, cre] () Maintainer: Kent Riemondy URL: https://github.com/rnabioco/raerdata VignetteBuilder: knitr BugReports: https://github.com/rnabioco/raerdata/issues git_url: https://git.bioconductor.org/packages/raerdata git_branch: RELEASE_3_18 git_last_commit: 4d039ed git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/raerdata_1.0.0.tar.gz vignettes: vignettes/raerdata/inst/doc/raerdata.html vignetteTitles: raerdata hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/raerdata/inst/doc/raerdata.R suggestsMe: raer dependencyCount: 124 Package: rcellminerData Version: 2.24.0 Depends: R (>= 3.5.0), Biobase Suggests: knitr, testthat, BiocStyle, rcellminer, rmarkdown License: LGPL-3 + file LICENSE MD5sum: 2f45852d4eeb438b6a1feb156200b2bc NeedsCompilation: no Title: rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines Description: The NCI-60 cancer cell line panel has been used over the course of several decades as an anti-cancer drug screen. This panel was developed as part of the Developmental Therapeutics Program (DTP, http://dtp.nci.nih.gov/) of the U.S. National Cancer Institute (NCI). Thousands of compounds have been tested on the NCI-60, which have been extensively characterized by many platforms for gene and protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose of the CellMiner project (http://discover.nci.nih.gov/ cellminer) has been to integrate data from multiple platforms used to analyze the NCI-60 and to provide a powerful suite of tools for exploration of NCI-60 data. biocViews: CancerData, CopyNumberVariationData, ExpressionData, SNPData, NCI, MicroarrayData, miRNAData Author: Augustin Luna, Vinodh Rajapakse, Fabricio Sousa Maintainer: Augustin Luna , Vinodh Rajapakse , Fathi Elloumi VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/rcellminerData git_branch: RELEASE_3_18 git_last_commit: 5adc140 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/rcellminerData_2.24.0.tar.gz vignettes: vignettes/rcellminerData/inst/doc/rcellminerDataUsage.html vignetteTitles: Accessing CellMiner Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/rcellminerData/inst/doc/rcellminerDataUsage.R dependsOnMe: rcellminer dependencyCount: 6 Package: RcisTarget.hg19.motifDBs.cisbpOnly.500bp Version: 1.22.0 Depends: R (>= 3.3) Imports: data.table License: GPL-3 MD5sum: b8cdbfafeb9966332876fdf9be8dbb5a NeedsCompilation: no Title: RcisTarget motif databases for human (hg19) - Subset of 4.6k motifs Description: RcisTarget databases: Gene-based motif rankings and annotation to transcription factors. This package contains a subset of 4.6k motifs (cisbp motifs), scored only within 500bp upstream and the TSS. See RcisTarget tutorial to download the full databases, containing 20k motifs and search space up to 10kbp around the TSS. biocViews: Homo_sapiens_Data Author: Sara Aibar, Gert Hulselmans, Stein Aerts. Laboratory of Computational Biology, KU Leuven Center for Human Genetics. Leuven, Belgium. Maintainer: Sara Aibar URL: http://scenic.aertslab.org git_url: https://git.bioconductor.org/packages/RcisTarget.hg19.motifDBs.cisbpOnly.500bp git_branch: RELEASE_3_18 git_last_commit: 524a41d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RcisTarget.hg19.motifDBs.cisbpOnly.500bp_1.22.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 2 Package: ReactomeGSA.data Version: 1.16.1 Depends: R (>= 3.6), limma, edgeR, ReactomeGSA, Seurat License: Artistic-2.0 MD5sum: bd236d4d4078f99ea5d473fde1ff065f NeedsCompilation: no Title: Companion data package for the ReactomeGSA package Description: Companion data sets to showcase the functionality of the ReactomeGSA package. This package contains proteomics and RNA-seq data of the melanoma B-cell induction study by Griss et al. and scRNA-seq data from Jerby-Arnon et al. biocViews: ExpressionData, RNASeqData, Proteome, Homo_sapiens_Data Author: Johannes Griss [aut, cre] () Maintainer: Johannes Griss URL: https://github.com/reactome/ReactomeGSA.data/issues BugReports: https://github.com/reactome/ReactomeGSA.data git_url: https://git.bioconductor.org/packages/ReactomeGSA.data git_branch: RELEASE_3_18 git_last_commit: 56f5b0b git_last_commit_date: 2023-11-08 Date/Publication: 2023-11-14 source.ver: src/contrib/ReactomeGSA.data_1.16.1.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ReactomeGSA dependencyCount: 162 Package: RegParallel Version: 1.20.0 Depends: doParallel, foreach, parallel, iterators, data.table, stringr, survival, arm, stats, utils, methods Suggests: RUnit, BiocGenerics, knitr, DESeq2, airway, magrittr, Biobase, GEOquery, biomaRt, survminer, survey, rmarkdown License: GPL-3 MD5sum: 68533561edc82ac22088ffdd6e988aad NeedsCompilation: no Title: Standard regression functions in R enabled for parallel processing over large data-frames Description: In many analyses, a large amount of variables have to be tested independently against the trait/endpoint of interest, and also adjusted for covariates and confounding factors at the same time. The major bottleneck in these is the amount of time that it takes to complete these analyses. With RegParallel, a large number of tests can be performed simultaneously. On a 12-core system, 144 variables can be tested simultaneously, with 1000s of variables processed in a matter of seconds via 'nested' parallel processing. Works for logistic regression, linear regression, conditional logistic regression, Cox proportional hazards and survival models, and Bayesian logistic regression. Also caters for generalised linear models that utilise survey weights created by the 'survey' CRAN package and that utilise 'survey::svyglm'. biocViews: DiseaseModel Author: Kevin Blighe [aut, cre], Sarega Gurudas [ctb], Jessica Lasky-Su [aut] Maintainer: Kevin Blighe URL: https://github.com/kevinblighe/RegParallel VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RegParallel git_branch: RELEASE_3_18 git_last_commit: 45cf27a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RegParallel_1.20.0.tar.gz vignettes: vignettes/RegParallel/inst/doc/RegParallel.html vignetteTitles: Standard regression functions in R enabled for parallel processing over large data-frames hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RegParallel/inst/doc/RegParallel.R dependencyCount: 61 Package: restfulSEData Version: 1.24.0 Depends: R (>= 3.4), SummarizedExperiment, ExperimentHub, DelayedArray (>= 0.21.2), HDF5Array (>= 1.23.2) Imports: utils, methods Suggests: knitr, rmarkdown, BiocStyle, rhdf5client License: Artistic-2.0 MD5sum: c69fe04b8675edd0faa593fb5ffc72c8 NeedsCompilation: no Title: Example metadata for the "restfulSE" R package Description: Metadata RangedSummarizedExperiment shell for use with restfulSE. biocViews: ExperimentData, Mus_musculus_Data, Homo_sapiens_Data, ExpressionData, SequencingData Author: Vincent Carey [aut], Shweta Gopaulakrishnan [cre, aut] Maintainer: Bioconductor Package Maintainer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/restfulSEData git_branch: RELEASE_3_18 git_last_commit: 2e6df54 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/restfulSEData_1.24.0.tar.gz vignettes: vignettes/restfulSEData/inst/doc/restfulSEData.pdf vignetteTitles: restfulSEData -- SummarizedExperiment shells for remote assay data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/restfulSEData/inst/doc/restfulSEData.R suggestsMe: restfulSE dependencyCount: 110 Package: RforProteomics Version: 1.40.0 Depends: R (>= 3.5), MSnbase (>= 2.5.3) Imports: R.utils, biocViews, BiocManager Suggests: AnnotationDbi, rpx (>= 2.0.3), DT, knitr, rmarkdown, BiocStyle, mzR, xcms, msdata, MALDIquant (>= 1.12), MALDIquantForeign, readBrukerFlexData, Rdisop, OrgMassSpecR, SummarizedExperiment, BRAIN, rols, hpar, GO.db, org.Hs.eg.db, e1071, biomaRt, RColorBrewer, ggplot2, reshape2, xtable, lattice, mzID, pRoloc, pRolocdata, MSnID, msmsTests, msmsEDA, DEP, corrplot, beanplot, Heatplus, gplots, VennDiagram, protViz, genefilter, plotly, gridExtra, dplyr, lubridate, magick, cleaver License: Artistic-2.0 MD5sum: 6d75aedb5902ea26a18e39da6848db4c NeedsCompilation: no Title: Companion package to the 'Using R and Bioconductor for proteomics data analysis' publication Description: This package contains code to illustrate the 'Using R and Bioconductor for proteomics data analysis' and 'Visualisation of proteomics data using R and Bioconductor' manuscripts. The vignettes describe the code and data needed to reproduce the examples and figures described in the paper and functionality for proteomics visualisation. It also contain various function to discover R software for mass spectrometry and proteomics. biocViews: ExperimentData, MassSpectrometryData, ReproducibleResearch Author: Laurent Gatto [aut, cre], Sebastian Gibb [ctb], Vlad Petyuk [ctb], Thomas Pedersen Lin [ctb] Maintainer: Laurent Gatto URL: http://lgatto.github.com/RforProteomics/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RforProteomics git_branch: RELEASE_3_18 git_last_commit: 8b92b5a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RforProteomics_1.40.0.tar.gz vignettes: vignettes/RforProteomics/inst/doc/RforProteomics.html, vignettes/RforProteomics/inst/doc/RProtVis.html vignetteTitles: Using R for proteomics data analysis, Visualisation of proteomics data using R and Bioconductor hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RforProteomics/inst/doc/RforProteomics.R, vignettes/RforProteomics/inst/doc/RProtVis.R suggestsMe: MSstatsQC dependencyCount: 87 Package: RGMQLlib Version: 1.22.0 Depends: R(>= 3.4.2) Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: d8ad27b1fe0c5eff6135285db972cab2 NeedsCompilation: no Title: RGMQLlib, java libraries to run GMQL scala API Description: A package that contains scala libraries to call GMQL from R used by RGMQL package. It contains a scalable data management engine written in Scala programming language. biocViews: ExperimentData,RepositoryData Author: Simone Pallotta [aut, cre], Marco Masseroli [aut] Maintainer: Simone Pallotta URL: http://www.bioinformatics.deib.polimi.it/genomic_computing/GMQL/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RGMQLlib git_branch: RELEASE_3_18 git_last_commit: 3dcb028 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RGMQLlib_1.22.0.tar.gz vignettes: vignettes/RGMQLlib/inst/doc/RGMQLlib.pdf vignetteTitles: RGMQLlib: scala Libraries to support GMQL hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: RGMQL dependencyCount: 0 Package: rheumaticConditionWOLLBOLD Version: 1.40.0 Depends: R (>= 2.10.0) Suggests: genefilter, Biobase, hgu133plus2.db License: Artistic-2.0 MD5sum: 8c8a5f56b923fe79c4a4902028d6fc5c NeedsCompilation: no Title: Normalized gene expression dataset published by Wollbold et al. [2009] (WOLLBOLD). Description: Normalized gene expression data from rheumatic diseases from study published by Wollbold et al. in 2009, provided as an eSet. biocViews: ExperimentData, Tissue, MicroarrayData, MultiChannelData, ChipOnChipData, TissueMicroarrayData, GEO, ArrayExpress Author: Alejandro Quiroz-Zarate, John Quackenbush Maintainer: Alejandro Quiroz-Zarate URL: http://compbio.dfci.harvard.edu/ git_url: https://git.bioconductor.org/packages/rheumaticConditionWOLLBOLD git_branch: RELEASE_3_18 git_last_commit: f646b03 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/rheumaticConditionWOLLBOLD_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RITANdata Version: 1.26.0 Depends: R (>= 4.2) Suggests: knitr License: file LICENSE MD5sum: 12987879ef374ad399dd440a058b9a47 NeedsCompilation: no Title: This package contains reference annotation and network data sets Description: Data such as is contained in the two R data files in this package are required for the RITAN package examples. Users are highly encouraged to use their own or additional resources in conjunction with RITANdata. See the RITAN vignettes and RITAN.md for more information, such as gathering more up-to-date annotation data. biocViews: AnnotationData, Homo_sapiens Author: Michael Zimmermann [aut, cre] Maintainer: Michael Zimmermann VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RITANdata git_branch: RELEASE_3_18 git_last_commit: a9f3c23 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RITANdata_1.26.0.tar.gz vignettes: vignettes/RITANdata/inst/doc/RITANdata.html vignetteTitles: Vignette Title hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/RITANdata/inst/doc/RITANdata.R importsMe: RITAN dependencyCount: 0 Package: RMassBankData Version: 1.40.0 Suggests: RMassBank License: Artistic-2.0 MD5sum: ac6f883e962890eebb03c2368be8bcdc NeedsCompilation: no Title: Test dataset for RMassBank Description: Example spectra, example compound list(s) and an example annotation list for a narcotics dataset; required to test RMassBank. The package is described in the man page for RMassBankData. Includes new XCMS test data. biocViews: ExperimentData, MassSpectrometryData Author: Michael Stravs, Emma Schymanski, Steffen Neumann Maintainer: Michael Stravs, Emma Schymanski git_url: https://git.bioconductor.org/packages/RMassBankData git_branch: RELEASE_3_18 git_last_commit: 07e0702 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RMassBankData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: RNAinteractMAPK Version: 1.40.0 Depends: R (>= 2.12.0), sparseLDA, RNAinteract Imports: grid, gdata, MASS, genefilter, methods, fields, utils, lattice, Biobase Suggests: qvalue License: Artistic-2.0 MD5sum: c60bb748ed7dc37d409f5dde69354074 NeedsCompilation: no Title: Mapping of Signalling Networks through Synthetic Genetic Interaction Analysis by RNAi Description: This package includes all data used in the paper -Mapping of Signalling Networks through Synthetic Genetic Interaction Analysis by RNAi- by Horn, Sandmann, Fischer et al.., Nat. Methods, 2011. The package vignette shows the R code to reproduce all figures in the paper. biocViews: ExperimentData, MicrotitrePlateAssayData, Drosophila_melanogaster_Data, CellCulture Author: Bernd Fischer [aut], Wolfgang Huber [ctb], Mike Smith [cre] Maintainer: Mike Smith git_url: https://git.bioconductor.org/packages/RNAinteractMAPK git_branch: RELEASE_3_18 git_last_commit: e0cd34c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RNAinteractMAPK_1.40.0.tar.gz vignettes: vignettes/RNAinteractMAPK/inst/doc/RNAinteractMAPK.pdf vignetteTitles: RNAinteractMAPK hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RNAinteractMAPK/inst/doc/RNAinteractMAPK.R suggestsMe: DmelSGI dependencyCount: 123 Package: RNAmodR.Data Version: 1.16.0 Depends: R (>= 3.6), ExperimentHub, ExperimentHubData (>= 1.9.2) Imports: utils Suggests: knitr, rmarkdown, BiocStyle, GenomicRanges, sessioninfo, testthat License: Artistic-2.0 MD5sum: cd4851e2f0c0a93c6d5a9163f542b07f NeedsCompilation: no Title: Example data for the RNAmodR package Description: RNAmodR.Data contains example data, which is used for vignettes and example workflows in the RNAmodR and dependent packages. biocViews: ExperimentData, SequencingData, RNASeqData Author: Felix G.M. Ernst [aut, cre], Denis L.J. Lafontaine [ctb, fnd] Maintainer: Felix G.M. Ernst URL: https://github.com/FelixErnst/RNAmodR.Data VignetteBuilder: knitr BugReports: https://github.com/FelixErnst/RNAmodR.Data/issues git_url: https://git.bioconductor.org/packages/RNAmodR.Data git_branch: RELEASE_3_18 git_last_commit: 0703a76 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RNAmodR.Data_1.16.0.tar.gz vignettes: vignettes/RNAmodR.Data/inst/doc/RNAmodR.Data.html vignetteTitles: RNAmodR.Data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RNAmodR.Data/inst/doc/RNAmodR.Data.R suggestsMe: RNAmodR, RNAmodR.AlkAnilineSeq, RNAmodR.ML, RNAmodR.RiboMethSeq dependencyCount: 146 Package: RNAseqData.HNRNPC.bam.chr14 Version: 0.40.0 Suggests: GenomicAlignments, BiocManager License: LGPL MD5sum: 9bfb7faf3c8770b15f3cf15bb670162d NeedsCompilation: no Title: Aligned reads from RNAseq experiment: Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells Description: The package contains 8 BAM files, 1 per sequencing run. Each BAM file was obtained by (1) aligning the reads (paired-end) to the full hg19 genome with TopHat2, and then (2) subsetting to keep only alignments on chr14. See accession number E-MTAB-1147 in the ArrayExpress database for details about the experiment, including links to the published study (by Zarnack et al., 2012) and to the FASTQ files. biocViews: ExperimentData, Genome, Homo_sapiens_Data, SequencingData, GEO, NCI, RNASeqData, ArrayExpress Author: Hervé Pagès Maintainer: Hervé Pagès URL: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1147/ git_url: https://git.bioconductor.org/packages/RNAseqData.HNRNPC.bam.chr14 git_branch: RELEASE_3_18 git_last_commit: 5e39e1e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RNAseqData.HNRNPC.bam.chr14_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: sequencing suggestsMe: BiocParallel, GenomicAlignments, GenomicFiles, GenomicRanges, roar, Rsamtools, SplicingGraphs dependencyCount: 0 Package: RnaSeqSampleSizeData Version: 1.34.0 Depends: edgeR,R (>= 2.10) Suggests: BiocStyle, knitr License: GPL (>= 2) MD5sum: a4edc47422b0be1d83521282c0599440 NeedsCompilation: no Title: RnaSeqSampleSizeData Description: RnaSeqSampleSizeData package provides the read counts and dispersion distribution from real RNA-seq experiments. It can be used by RnaSeqSampleSize package to estimate sample size and power for RNA-seq experiment design. biocViews: ExperimentData, CancerData, RNASeqData Author: Shilin Zhao, Chung-I Li, Yan Guo, Quanhu Sheng, Yu Shyr Maintainer: Shilin Zhao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/RnaSeqSampleSizeData git_branch: RELEASE_3_18 git_last_commit: 18c0ea1 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnaSeqSampleSizeData_1.34.0.tar.gz vignettes: vignettes/RnaSeqSampleSizeData/inst/doc/RnaSeqSampleSizeData.pdf vignetteTitles: RnaSeqSampleSizeData: Read counts and dispersion distribution from real data for sample size estimation of RNA-seq experiments hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RnaSeqSampleSizeData/inst/doc/RnaSeqSampleSizeData.R dependsOnMe: RnaSeqSampleSize dependencyCount: 12 Package: RnBeads.hg19 Version: 1.34.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 92612251679ba9c6d2b88b90838edf1c NeedsCompilation: no Title: RnBeads.hg19 Description: Automatically generated RnBeads annotation package for the assembly hg19. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.hg19 git_branch: RELEASE_3_18 git_last_commit: 4d3f651 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnBeads.hg19_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: MAGAR suggestsMe: RnBeads dependencyCount: 16 Package: RnBeads.hg38 Version: 1.34.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 44dd2d3ae3703e045016a34060a14b0a NeedsCompilation: no Title: RnBeads.hg38 Description: Automatically generated RnBeads annotation package for the assembly hg38. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.hg38 git_branch: RELEASE_3_18 git_last_commit: 53c8f64 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnBeads.hg38_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RnBeads.mm10 Version: 2.10.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 0c935572ce46183bc5a7aaea31ea2519 NeedsCompilation: no Title: RnBeads.mm10 Description: Automatically generated RnBeads annotation package for the assembly mm10. Author: RnBeads Team Maintainer: RnBeads Team git_url: https://git.bioconductor.org/packages/RnBeads.mm10 git_branch: RELEASE_3_18 git_last_commit: d4c15d0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnBeads.mm10_2.10.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RnBeads.mm9 Version: 1.34.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: 76f271051b1c542e5ac0da492777f933 NeedsCompilation: no Title: RnBeads.mm9 Description: Automatically generated RnBeads annotation package for the assembly mm9. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.mm9 git_branch: RELEASE_3_18 git_last_commit: e3e45c7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnBeads.mm9_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: RnBeads dependencyCount: 16 Package: RnBeads.rn5 Version: 1.34.0 Depends: R (>= 3.5.0), GenomicRanges Suggests: RnBeads License: GPL-3 MD5sum: ed075717da62b68e7a9b47a14ac09a35 NeedsCompilation: no Title: RnBeads.rn5 Description: Automatically generated RnBeads annotation package for the assembly rn5. Author: RnBeadsAnnotationCreator Maintainer: RnBeadsAnnotationCreator git_url: https://git.bioconductor.org/packages/RnBeads.rn5 git_branch: RELEASE_3_18 git_last_commit: a7291fe git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RnBeads.rn5_1.34.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 16 Package: RRBSdata Version: 1.22.0 Depends: R (>= 3.5.0), BiSeq (>= 1.9.2) License: LGPL-3 MD5sum: 04bcf0f0348dc54984ca9506773820ec NeedsCompilation: no Title: An RRBS data set with 12 samples and 10,000 simulated DMRs Description: RRBS data set comprising 12 samples with simulated differentially methylated regions (DMRs). biocViews: ExperimentData, CancerData, SequencingData, CpGIslandData Author: Katja Hebestreit, Hans-Ulrich Klein Maintainer: Katja Hebestreit git_url: https://git.bioconductor.org/packages/RRBSdata git_branch: RELEASE_3_18 git_last_commit: 43693cd git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RRBSdata_1.22.0.tar.gz vignettes: vignettes/RRBSdata/inst/doc/RRBSdata.pdf vignetteTitles: An RRBS data set with 12 samples and 10,,000 simulated DMRs. hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RRBSdata/inst/doc/RRBSdata.R dependencyCount: 91 Package: rRDPData Version: 1.22.0 Depends: rRDP License: GPL-2 MD5sum: 9ca56f1bf00bfaefb27c351ccc7346ae NeedsCompilation: no Title: Database for the Default RDP Classifier Description: Database used by the default RDP Classifier biocViews: SequencingData, MicrobiomeData Author: Michael Hahsler, Anurag Nagar Maintainer: Michael Hahsler SystemRequirements: Java git_url: https://git.bioconductor.org/packages/rRDPData git_branch: RELEASE_3_18 git_last_commit: 1b0000d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/rRDPData_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: rRDP dependencyCount: 19 Package: RTCGA.clinical Version: 20151101.32.0 Depends: R (>= 3.2.0), RTCGA Suggests: rmarkdown, knitr License: GPL-2 MD5sum: 9c32b8aef86c9ad34ea8c3672575d724 NeedsCompilation: no Title: Clinical datasets from The Cancer Genome Atlas Project Description: Package provides clinical datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Clinical data format is explained here https://wiki.nci.nih.gov/display/TCGA/Clinical+Data+Overview. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.clinical git_branch: RELEASE_3_18 git_last_commit: c3e3be4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.clinical_20151101.32.0.tar.gz vignettes: vignettes/RTCGA.clinical/inst/doc/downloading_clinical_datasets.html vignetteTitles: Using RTCGA to download clinical data as included in RTCGA.clinical hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.clinical/inst/doc/downloading_clinical_datasets.R suggestsMe: RTCGA, TDbasedUFEadv dependencyCount: 139 Package: RTCGA.CNV Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 15267c2322da59ccd344657a28d2ba6a NeedsCompilation: no Title: CNV (Copy-number variation) datasets from The Cancer Genome Atlas Project Description: Package provides CNV (based on Merge snp) datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Retrieving +Data+Using+the+Data+Matrix. Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Przemyslaw Biecek Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.CNV git_branch: RELEASE_3_18 git_last_commit: ca1e744 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.CNV_1.30.0.tar.gz vignettes: vignettes/RTCGA.CNV/inst/doc/downloading_cnv_datasets.html, vignettes/RTCGA.CNV/inst/doc/frequency_of_cnv_for_mdm3.html vignetteTitles: Using RTCGA to download CNV data as included in RTCGA.CNV, Using RTCGA to estimate ratio of MDM2 duplications hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.CNV/inst/doc/downloading_cnv_datasets.R, vignettes/RTCGA.CNV/inst/doc/frequency_of_cnv_for_mdm3.R suggestsMe: RTCGA dependencyCount: 139 Package: RTCGA.methylation Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 9d90704cb34a57878ef719348489c702 NeedsCompilation: no Title: Methylation datasets from The Cancer Genome Atlas Project Description: Package provides methylation (humanmethylation27) datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/DNA+methylation Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Marcin Kosinski [aut, cre], Witold Chodor [aut] Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.methylation git_branch: RELEASE_3_18 git_last_commit: af41566 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.methylation_1.30.0.tar.gz vignettes: vignettes/RTCGA.methylation/inst/doc/downloading_methylation_datasets.html vignetteTitles: Using RTCGA to download methylation data as included in RTCGA.methylation hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.methylation/inst/doc/downloading_methylation_datasets.R suggestsMe: RTCGA dependencyCount: 139 Package: RTCGA.miRNASeq Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 744062c2f0db68a88e27db9d61929a79 NeedsCompilation: no Title: miRNASeq datasets from The Cancer Genome Atlas Project Description: Package provides miRNASeq datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/miRNASeq#miRNASeq-DataOverview Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.miRNASeq git_branch: RELEASE_3_18 git_last_commit: 188959b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.miRNASeq_1.30.0.tar.gz vignettes: vignettes/RTCGA.miRNASeq/inst/doc/downloading_miRNASeq_datasets.html vignetteTitles: Using RTCGA to download miRNASeq data as included in RTCGA.miRNASeq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.miRNASeq/inst/doc/downloading_miRNASeq_datasets.R suggestsMe: RTCGA dependencyCount: 139 Package: RTCGA.mRNA Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: c9774207df355ef5945677d36e915103 NeedsCompilation: no Title: mRNA datasets from The Cancer Genome Atlas Project Description: Package provides mRNA datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Gene+expression+data Data from 2015-11-01 snapshot. biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.mRNA git_branch: RELEASE_3_18 git_last_commit: 5e81af7 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.mRNA_1.30.0.tar.gz vignettes: vignettes/RTCGA.mRNA/inst/doc/downloading_mRNA_datasets.html vignetteTitles: Using RTCGA to download mRNA data as included in RTCGA.mRNA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.mRNA/inst/doc/downloading_mRNA_datasets.R suggestsMe: RTCGA dependencyCount: 139 Package: RTCGA.mutations Version: 20151101.32.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 0740acb5a6a47fd9d1281ccaf80bafed NeedsCompilation: no Title: Mutations datasets from The Cancer Genome Atlas Project Description: Package provides mutations datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Mutations data format is explained here https://wiki.nci.nih.gov/display/TCGA/Mutation+Annotation+Format+(MAF)+Specification. There is extra one column with patients' barcodes. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.mutations git_branch: RELEASE_3_18 git_last_commit: 33cfd4e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.mutations_20151101.32.0.tar.gz vignettes: vignettes/RTCGA.mutations/inst/doc/downloading_mutations_datasets.html vignetteTitles: Using RTCGA to download mutations data as included in RTCGA.mutations hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.mutations/inst/doc/downloading_mutations_datasets.R suggestsMe: RTCGA dependencyCount: 139 Package: RTCGA.PANCAN12 Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 8b0742d189afe05f47a2656556d85d0b NeedsCompilation: no Title: PanCan 12 from Genome Cancer Browser Description: Package provides clinical, expression, cnv and mutation data from Genome Cancer Browser. biocViews: AnnotationData Author: Przemyslaw Biecek Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.PANCAN12 git_branch: RELEASE_3_18 git_last_commit: 2d7a1b9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.PANCAN12_1.30.0.tar.gz vignettes: vignettes/RTCGA.PANCAN12/inst/doc/pancan12.html vignetteTitles: Using RTCGA.PANCAN12 to compare time to death hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.PANCAN12/inst/doc/pancan12.R suggestsMe: GOpro dependencyCount: 139 Package: RTCGA.rnaseq Version: 20151101.32.0 Depends: R (>= 3.2.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 47bee14c68ff4d1014677eca0ed969a9 NeedsCompilation: no Title: Rna-seq datasets from The Cancer Genome Atlas Project Description: Package provides rna-seq datasets from The Cancer Genome Atlas Project for all cohorts types from http://gdac.broadinstitute.org/. Rna-seq data format is explained here https://wiki.nci.nih.gov/display/TCGA/RNASeq+Version+2. Data source is illumina hiseq Level 3 RSEM normalized expression data. Data from 2015-11-01 snapshot. biocViews: Annotation Data Author: Marcin Kosinski Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.rnaseq git_branch: RELEASE_3_18 git_last_commit: 1f62f3c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.rnaseq_20151101.32.0.tar.gz vignettes: vignettes/RTCGA.rnaseq/inst/doc/downloading_rnaseq_datasets.html vignetteTitles: Using RTCGA to download RNAseq data as included in RTCGA.rnaseq hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.rnaseq/inst/doc/downloading_rnaseq_datasets.R suggestsMe: RTCGA, TDbasedUFEadv, FSelectorRcpp dependencyCount: 139 Package: RTCGA.RPPA Version: 1.30.0 Depends: R (>= 3.3.0), RTCGA Suggests: knitr, rmarkdown License: GPL-2 MD5sum: 5eccece412039d43cdf74aec284fa0d9 NeedsCompilation: no Title: RPPA datasets from The Cancer Genome Atlas Project Description: Package provides RPPA datasets from The Cancer Genome Atlas Project for all available cohorts types from http://gdac.broadinstitute.org/. Data format is explained here https://wiki.nci.nih.gov/display/TCGA/Protein+Array +Data+Format+Specification?src=search biocViews: AnnotationData Author: Witold Chodor Maintainer: Marcin Kosinski VignetteBuilder: knitr BugReports: https://github.com/RTCGA/RTCGA/issues git_url: https://git.bioconductor.org/packages/RTCGA.RPPA git_branch: RELEASE_3_18 git_last_commit: d73a8d0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RTCGA.RPPA_1.30.0.tar.gz vignettes: vignettes/RTCGA.RPPA/inst/doc/downloading_RPPA_datasets.html vignetteTitles: Using RTCGA to download RPPA data as included in RTCGA.RPPA hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RTCGA.RPPA/inst/doc/downloading_RPPA_datasets.R suggestsMe: RTCGA dependencyCount: 139 Package: RUVnormalizeData Version: 1.22.0 Depends: R (>= 2.10.0), Biobase License: GPL-3 MD5sum: 5d7104746a5cac16500870312dd769a6 NeedsCompilation: no Title: Gender data for the RUVnormalize package Description: Microarray gene expression data from the study of Vawter et al., 2004. biocViews: MicroarrayData Author: Laurent Jacob Maintainer: Laurent Jacob git_url: https://git.bioconductor.org/packages/RUVnormalizeData git_branch: RELEASE_3_18 git_last_commit: 36f1957 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/RUVnormalizeData_1.22.0.tar.gz vignettes: vignettes/RUVnormalizeData/inst/doc/RUVnormalizeData.pdf vignetteTitles: RUVnormalizeData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/RUVnormalizeData/inst/doc/RUVnormalizeData.R importsMe: RUVnormalize dependencyCount: 6 Package: sampleClassifierData Version: 1.26.0 Depends: R (>= 3.5.0), SummarizedExperiment Suggests: BiocStyle License: Artistic-2.0 MD5sum: 941790a92cde9051601206ed162f4151 NeedsCompilation: no Title: Pre-processed data for use with the sampleClassifier package Description: This package contains two microarray and two RNA-seq datasets that have been preprocessed for use with the sampleClassifier package. The RNA-seq data are derived from Fagerberg et al. (2014) and the Illumina Body Map 2.0 data. The microarray data are derived from Roth et al. (2006) and Ge et al. (2005). biocViews: ExperimentData, ExpressionData, MicroarrayData, SequencingData, RNASeqData, ArrayExpress Author: Khadija El Amrani Maintainer: Khadija El Amrani git_url: https://git.bioconductor.org/packages/sampleClassifierData git_branch: RELEASE_3_18 git_last_commit: 06af210 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/sampleClassifierData_1.26.0.tar.gz vignettes: vignettes/sampleClassifierData/inst/doc/sampleClassifierData.pdf vignetteTitles: sampleClassifierData Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/sampleClassifierData/inst/doc/sampleClassifierData.R suggestsMe: sampleClassifier dependencyCount: 29 Package: SBGNview.data Version: 1.16.0 Depends: R (>= 3.6) Imports: knitr, rmarkdown, bookdown Suggests: SummarizedExperiment License: AGPL-3 MD5sum: 7e1bce0dfbc48b3cdc023d88e2ea7d9a NeedsCompilation: no Title: Supporting datasets for SBGNview package Description: This package contains: 1. A microarray gene expression dataset from a human breast cancer study. 2. A RNA-Seq gene expression dataset from a mouse study on IFNG knockout. 3. ID mapping tables between gene IDs and SBGN-ML file glyph IDs. 4. Percent of orthologs detected in other species of the genes in a pathway. Cutoffs of this percentage for defining if a pathway exists in another species. 5. XML text of SBGN-ML files for all pre-collected pathways. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData, GEO, RNASeqData Author: Xiaoxi Dong*, Kovidh Vegesna*, Weijun Luo Maintainer: Weijun Luo VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SBGNview.data git_branch: RELEASE_3_18 git_last_commit: 2f6544f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SBGNview.data_1.16.0.tar.gz vignettes: vignettes/SBGNview.data/inst/doc/SBGNview.data.vignette.html vignetteTitles: Supporting Datasets for SBGNview Package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SBGNview.data/inst/doc/SBGNview.data.vignette.R dependsOnMe: SBGNview dependencyCount: 32 Package: scanMiRData Version: 1.8.0 Depends: R (>= 4.0) Imports: scanMiR, utils Suggests: knitr, rmarkdown, BiocStyle License: GPL-3 MD5sum: 4c717492a3c85bbcf199873e35190219 NeedsCompilation: no Title: miRNA Affinity models for the scanMiR package Description: This package contains companion data to the scanMiR package. It contains `KdModel` (miRNA 12-mer binding affinity models) collections corresponding to all human, mouse and rat mirbase miRNAs. See the scanMiR package for details. biocViews: miRNAData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, Rattus_norvegicus_Data Author: Pierre-Luc Germain [cre, aut] (), Michael Soutschek [aut], Fridolin Gross [aut] Maintainer: Pierre-Luc Germain VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scanMiRData git_branch: RELEASE_3_18 git_last_commit: 112e8ff git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scanMiRData_1.8.0.tar.gz vignettes: vignettes/scanMiRData/inst/doc/scanMiRData.html vignetteTitles: scanMiRData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scanMiRData/inst/doc/scanMiRData.R importsMe: scanMiRApp dependencyCount: 64 Package: scATAC.Explorer Version: 1.8.0 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache, data.table, utils, S4Vectors Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 80927899a83bb06d19b0f9800c183b36 NeedsCompilation: no Title: A Collection of Single-cell ATAC Sequencing Datasets and Corresponding Metadata Description: This package provides a tool to search and download a collection of publicly available single cell ATAC-seq datasets and their metadata. scATAC-Explorer aims to act as a single point of entry for users looking to study single cell ATAC-seq data. Users can quickly search available datasets using the metadata table and download datasets of interest for immediate analysis within R. biocViews: SingleCellData, SequencingData, ExpressionData, GEO, Tissue, Genome, PackageTypeData Author: Arrian Gibson-Khademi [aut, cre], Erik Christensen [aut], Parisa Shooshtari [aut] Maintainer: Arrian Gibson-Khademi VignetteBuilder: knitr BugReports: https://github.com/shooshtarilab/scATACseq/issues git_url: https://git.bioconductor.org/packages/scATAC.Explorer git_branch: RELEASE_3_18 git_last_commit: 133348d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scATAC.Explorer_1.8.0.tar.gz vignettes: vignettes/scATAC.Explorer/inst/doc/scATAC.Explorer.html vignetteTitles: scATAC.Explorer hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scATAC.Explorer/inst/doc/scATAC.Explorer.R dependencyCount: 71 Package: SCATEData Version: 1.12.0 Depends: R (>= 3.5.0), ExperimentHub, GenomicAlignments, GenomicRanges, base Imports: utils Suggests: knitr, rmarkdown License: MIT + file LICENSE MD5sum: d2cc1103c55f35abcd3a593998e64e62 NeedsCompilation: no Title: Data for SCATE (Single-cell ATAC-seq Signal Extraction and Enhancement) Description: SCATEData is an ExperimentHub package for SCATE which is a software tool for extracting and enhancing the sparse and discrete Single-cell ATAC-seq Signal. biocViews: ExperimentHub, ExperimentData Author: Zhicheng Ji [aut], Weiqiang Zhou [aut], Wenpin Hou [cre, aut] (), Hongkai Ji [aut] Maintainer: Wenpin Hou VignetteBuilder: knitr BugReports: https://github.com/Winnie09/SCATEData/issues PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/SCATEData git_branch: RELEASE_3_18 git_last_commit: 2ba0dcf git_last_commit_date: 2023-10-24 Date/Publication: 2024-04-09 source.ver: src/contrib/SCATEData_1.12.0.tar.gz vignettes: vignettes/SCATEData/inst/doc/SCATEData_package.html vignetteTitles: 1. SCATEData package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/SCATEData/inst/doc/SCATEData_package.R dependsOnMe: SCATE dependencyCount: 119 Package: SCLCBam Version: 1.34.0 Depends: R(>= 2.10) Suggests: BiocStyle License: GPL-2 MD5sum: 660f11c1751b54cc942e91045884bfe6 NeedsCompilation: no Title: Sequence data from chromosome 4 of a small-cell lung tumor Description: Whole-exome sequencing data from a murine small-cell lung tumor; only contains data of chromosome 4. biocViews: SequencingData, LungCancerData Author: Thomas Kuilman Maintainer: Oscar Krijgsman git_url: https://git.bioconductor.org/packages/SCLCBam git_branch: RELEASE_3_18 git_last_commit: bd17801 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SCLCBam_1.34.0.tar.gz vignettes: vignettes/SCLCBam/inst/doc/SCLCBam.pdf vignetteTitles: SCLCBam hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SCLCBam/inst/doc/SCLCBam.R dependencyCount: 0 Package: scMultiome Version: 1.2.0 Depends: AnnotationHub, ExperimentHub (>= 2.8.1), MultiAssayExperiment, SingleCellExperiment, SummarizedExperiment Imports: AzureStor, DelayedArray, GenomicRanges, HDF5Array, S4Vectors, checkmate, methods, rhdf5 Suggests: BiocGenerics, IRanges, Matrix, knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0), devtools, BiocStyle, ExperimentHubData License: CC BY-SA 4.0 MD5sum: db13145ffc5eb5430eee8ac7212e1b7d NeedsCompilation: no Title: Collection of Public Single-Cell Multiome (scATAC + scRNAseq) Datasets Description: Single cell multiome data, containing chromatin accessibility (scATAC-seq) and gene expression (scRNA-seq) information analyzed with the ArchR package and presented as MultiAssayExperiment objects. biocViews: PackageTypeData, ExperimentHub, SingleCellData, ExpressionData, SequencingData, Homo_sapiens_Data, CellCulture, Tissue, GEO Author: Xiaosai Yao [cre, aut] (), Aleksander Chlebowski [aut], Aaron Lun [aut], Shiqi Xie [ctb], Tomasz Wlodarczyk [aut] Maintainer: Xiaosai Yao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scMultiome git_branch: RELEASE_3_18 git_last_commit: fae545b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scMultiome_1.2.0.tar.gz vignettes: vignettes/scMultiome/inst/doc/scMultiome.html vignetteTitles: scMultiome tutorial hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scMultiome/inst/doc/scMultiome.R dependencyCount: 123 Package: scpdata Version: 1.10.0 Depends: R (>= 4.2.0), QFeatures, ExperimentHub Imports: utils, AnnotationHub, SingleCellExperiment, S4Vectors Suggests: scp, magrittr, dplyr, knitr, BiocStyle, BiocCheck, rmarkdown, testthat License: GPL-2 MD5sum: eac9eae58fe9297359188c45a3dabd1f NeedsCompilation: no Title: Single-Cell Proteomics Data Package Description: The package disseminates mass spectrometry (MS)-based single-cell proteomics (SCP) datasets. The data were collected from published work and formatted using the `scp` data structure. The data sets contain quantitative information at spectrum, peptide and/or protein level for single cells or minute sample amounts. biocViews: ExperimentData, ExpressionData, ExperimentHub, ReproducibleResearch, MassSpectrometryData, Proteome, SingleCellData, PackageTypeData Author: Christophe Vanderaa [aut, cre] (), Laurent Gatto [aut] () Maintainer: Christophe Vanderaa VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scpdata git_branch: RELEASE_3_18 git_last_commit: 5495c42 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scpdata_1.10.0.tar.gz vignettes: vignettes/scpdata/inst/doc/scpdata.html vignetteTitles: Data Package for Single Cell Proteomics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scpdata/inst/doc/scpdata.R suggestsMe: scp dependencyCount: 132 Package: scRNAseq Version: 2.16.0 Depends: SingleCellExperiment Imports: utils, methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub (>= 2.3.4), AnnotationHub (>= 3.3.6), AnnotationDbi, ensembldb, GenomicFeatures Suggests: BiocStyle, knitr, rmarkdown, BiocFileCache, testthat, rappdirs, tools License: CC0 MD5sum: 55196cb10876aa15733c6a29ffc38100 NeedsCompilation: no Title: Collection of Public Single-Cell RNA-Seq Datasets Description: Gene-level counts for a collection of public scRNA-seq datasets, provided as SingleCellExperiment objects with cell- and gene-level metadata. biocViews: ExperimentHub, ExperimentData, ExpressionData, SequencingData, RNASeqData, SingleCellData Author: Davide Risso [aut, cph], Michael Cole [aut], Aaron Lun [ctb, cre], Alan O'Callaghan [ctb], Jens Preussner [ctb], Charlotte Soneson [ctb], Stephany Orjuela [ctb], Daniel Bunis [ctb], Milan Malfait [ctb] Maintainer: Aaron Lun VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/scRNAseq git_branch: RELEASE_3_18 git_last_commit: 0bc6ab5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scRNAseq_2.16.0.tar.gz vignettes: vignettes/scRNAseq/inst/doc/scRNAseq.html vignetteTitles: User's Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/scRNAseq/inst/doc/scRNAseq.R dependsOnMe: OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.workflows, SingleRBook importsMe: singleCellTK suggestsMe: APL, BASiCS, batchelor, bluster, ccImpute, destiny, dittoSeq, Glimma, iSEE, iSEEhex, iSEEu, miQC, mumosa, scAnnotatR, scater, scDblFinder, scFeatureFilter, scone, scran, scTreeViz, scuttle, SingleCellExperiment, SingleR, SummarizedBenchmark, UCell, velociraptor, zellkonverter, zinbwave, scfetch dependencyCount: 133 Package: scTHI.data Version: 1.14.0 Depends: R (>= 4.0) License: GPL-2 MD5sum: 1fd101f8dc30262c323bdfa79810f6f5 NeedsCompilation: no Title: The package contains examples of single cell data used in vignettes and examples of the scTHI package; data contain both tumor cells and immune cells from public dataset of glioma Description: Data for the vignette and tutorial of the package scTHI. biocViews: ExperimentData, SingleCellData Author: Francesca Pia Caruso [aut], Michele Ceccarelli [aut, cre] Maintainer: Michele Ceccarelli git_url: https://git.bioconductor.org/packages/scTHI.data git_branch: RELEASE_3_18 git_last_commit: b66b93f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/scTHI.data_1.14.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: scTHI dependencyCount: 0 Package: seq2pathway.data Version: 1.34.0 Depends: R (>= 3.6.2) License: GPL (>= 2) MD5sum: b0035ff986391159c1329eac9fb96661 NeedsCompilation: no Title: data set for R package seq2pathway Description: Supporting data for the seq2patheway package. Includes modified gene sets from MsigDB and org.Hs.eg.db; gene locus definitions from GENCODE project. biocViews: ExperimentData Author: Bin Wang Maintainer: Arjun Kinstlick git_url: https://git.bioconductor.org/packages/seq2pathway.data git_branch: RELEASE_3_18 git_last_commit: ba45f9b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/seq2pathway.data_1.34.0.tar.gz vignettes: vignettes/seq2pathway.data/inst/doc/seq2pathway.data.pdf vignetteTitles: An R data package for sequence hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE importsMe: seq2pathway dependencyCount: 0 Package: seqc Version: 1.36.0 Depends: R (>= 2.10) Imports: utils, Biobase License: GPL-3 MD5sum: 105a278c97aca90968641aec403c1219 NeedsCompilation: no Title: RNA-seq data generated from SEQC (MAQC-III) study Description: The SEQC/MAQC-III Consortium has produced benchmark RNA-seq data for the assessment of RNA sequencing technologies and data analysis methods (Nat Biotechnol, 2014). Billions of sequence reads have been generated from ten different sequencing sites. This package contains the summarized read count data for ~2000 sequencing libraries. It also includes all the exon-exon junctions discovered from the study. TaqMan RT-PCR data for ~1000 genes and ERCC spike-in sequence data are included in this package as well. biocViews: ExperimentData, RNASeqData, qPCRData, SequencingData Author: Yang Liao and Wei Shi with contributions from Gordon K Smyth and Steve Lianoglou. Maintainer: Yang Liao and Wei Shi URL: http://bioconductor.org/packages/release/data/experiment/html/seqc.html git_url: https://git.bioconductor.org/packages/seqc git_branch: RELEASE_3_18 git_last_commit: 8a93887 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/seqc_1.36.0.tar.gz vignettes: vignettes/seqc/inst/doc/seqc.pdf vignetteTitles: SEQC Vignette hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/seqc/inst/doc/seqc.R dependencyCount: 6 Package: seqCNA.annot Version: 1.38.0 Depends: R (>= 2.10) License: GPL-3 MD5sum: a61df6e0824d7c3c3f4c697b5bd73e30 NeedsCompilation: no Title: Annotation for the copy number analysis of deep sequencing cancer data with seqCNA Description: Provides annotation on GC content, mappability and genomic features for various genomes biocViews: Genome, CopyNumberVariationData Author: David Mosen-Ansorena Maintainer: David Mosen-Ansorena git_url: https://git.bioconductor.org/packages/seqCNA.annot git_branch: RELEASE_3_18 git_last_commit: d8179ef git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/seqCNA.annot_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: seqCNA dependencyCount: 0 Package: serumStimulation Version: 1.38.0 Depends: R (>= 2.10) License: GPL (>= 2) MD5sum: 4d3f1a4e58f500d7e424eef0b22c05ad NeedsCompilation: no Title: serumStimulation is a data package which is used by examples in package pcaGoPromoter Description: Contains 13 micro array data results from a serum stimulation experiment biocViews: ExperimentData, MicroarrayData Author: Morten Hansen Maintainer: Morten Hansen, git_url: https://git.bioconductor.org/packages/serumStimulation git_branch: RELEASE_3_18 git_last_commit: 22299f5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/serumStimulation_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: sesameData Version: 1.20.0 Depends: R (>= 4.2.0), ExperimentHub, AnnotationHub Imports: utils, readr, stringr, GenomicRanges, S4Vectors, IRanges, GenomeInfoDb Suggests: BiocGenerics, sesame, testthat, knitr, rmarkdown License: Artistic-2.0 MD5sum: 4cd44c4f5307d2775d94f2051b9a7f46 NeedsCompilation: no Title: Supporting Data for SeSAMe Package Description: Provides supporting annotation and test data for SeSAMe package. This includes chip tango addresses, mapping information, performance annotation, and trained predictor for Infinium array data. This package provides user access to essential annotation data for working with many generations of the Infinium DNA methylation array. Current we support human array (HM27, HM450, EPIC), mouse array (MM285) and the HorvathMethylChip40 (Mammal40) array. biocViews: ExperimentData, MicroarrayData, Genome, ExperimentHub, MethylationArrayData Author: Wanding Zhou [aut, cre] (), Hui Shen [aut], Timothy Triche [ctb] Maintainer: Wanding Zhou VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/sesameData git_branch: RELEASE_3_18 git_last_commit: ff46e9d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/sesameData_1.20.0.tar.gz vignettes: vignettes/sesameData/inst/doc/sesameData.html vignetteTitles: sesameData User Guide hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/sesameData/inst/doc/sesameData.R dependsOnMe: sesame importsMe: MethReg suggestsMe: ELMER, iNETgrate dependencyCount: 103 Package: seventyGeneData Version: 1.38.2 Depends: R (>= 2.13.0) Suggests: Biobase, limma, breastCancerNKI, knitr, rmarkdown, readxl, BiocStyle License: Artistic-2.0 MD5sum: 20fbac8869adfe019eeef340a209da1d NeedsCompilation: no Title: ExpressionSets from the van't Veer and Van de Vijver breast cancer studies Description: Gene expression data for the two breast cancer cohorts published by van't Veer and Van de Vijver in 2002. biocViews: ExperimentData, CancerData, BreastCancerData, MicroarrayData Author: Luigi Marchionni [aut, cre] (), Claudio Zanettini [aut, ctb], Lucio Queiroz [aut, ctb] () Maintainer: Luigi Marchionni URL: https://bioconductor.org/packages/release/data/experiment/html/seventyGeneData.html VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/seventyGeneData git_branch: RELEASE_3_18 git_last_commit: 9f12dd9 git_last_commit_date: 2023-12-04 Date/Publication: 2023-12-05 source.ver: src/contrib/seventyGeneData_1.38.2.tar.gz vignettes: vignettes/seventyGeneData/inst/doc/seventyGeneData.html vignetteTitles: 1. Working with the seventyGeneData package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/seventyGeneData/inst/doc/seventyGeneData.R dependencyCount: 0 Package: SFEData Version: 1.4.0 Imports: BiocFileCache, AnnotationHub, ExperimentHub Suggests: BiocStyle, knitr, rmarkdown, SpatialFeatureExperiment, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 7f3376870c972cba309b26d52d24fcbb NeedsCompilation: no Title: Example SpatialFeatureExperiment datasets Description: Example spatial transcriptomics datasets with Simple Feature annotations as SpatialFeatureExperiment objects. Technologies include Visium, slide-seq, Nanostring CoxMX, Vizgen MERFISH, and 10X Xenium. Tissues include mouse skeletal muscle, human melanoma metastasis, human lung, breast cancer, and mouse liver. biocViews: ExperimentHub, ExpressionData, Mus_musculus_Data, Homo_sapiens_Data, SpatialData, Tissue, SingleCellData Author: Lambda Moses [aut, cre] (), Kayla Jackson [aut] (), Lior Pachter [aut, ths] () Maintainer: Lambda Moses URL: https://github.com/pachterlab/SFEData VignetteBuilder: knitr BugReports: https://github.com/pachterlab/SFEData/issues git_url: https://git.bioconductor.org/packages/SFEData git_branch: RELEASE_3_18 git_last_commit: 8fd0925 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SFEData_1.4.0.tar.gz vignettes: vignettes/SFEData/inst/doc/SFEData.html vignetteTitles: Example SpatialFeatureExperiment datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SFEData/inst/doc/SFEData.R suggestsMe: SpatialFeatureExperiment, Voyager dependencyCount: 95 Package: shinyMethylData Version: 1.22.0 Depends: R (>= 3.0.0) License: Artistic-2.0 MD5sum: 46f32db849aaa1467d09b0a371769374 NeedsCompilation: no Title: Example dataset of input data for shinyMethyl Description: Extracted data from 369 TCGA Head and Neck Cancer DNA methylation samples. The extracted data serve as an example dataset for the package shinyMethyl. Original samples are from 450k methylation arrays, and were obtained from The Cancer Genome Atlas (TCGA). 310 samples are from tumor, 50 are matched normals and 9 are technical replicates of a control cell line. biocViews: Genome, CancerData Author: Jean-Philippe Fortin [cre, aut], Kasper Daniel Hansen [aut] Maintainer: Jean-Philippe Fortin git_url: https://git.bioconductor.org/packages/shinyMethylData git_branch: RELEASE_3_18 git_last_commit: 05737b5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/shinyMethylData_1.22.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: shinyMethyl dependencyCount: 0 Package: signatureSearchData Version: 1.16.0 Depends: R (>= 3.6) Imports: ExperimentHub, utils, affy, limma, Biobase, magrittr, dplyr, R.utils, stats, rhdf5 Suggests: knitr, rmarkdown License: Artistic-2.0 MD5sum: b30a7f1715a7525279c47db6df5ad995 NeedsCompilation: no Title: Datasets for signatureSearch package Description: CMAP/LINCS hdf5 databases and other annotations used for signatureSearch software package. biocViews: ExperimentHub, ExperimentData, ExpressionData Author: Yuzhu Duan , Brendan Gongol , Thomas Girke Maintainer: Brendan Gongol VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/signatureSearchData git_branch: RELEASE_3_18 git_last_commit: 71ab882 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/signatureSearchData_1.16.0.tar.gz vignettes: vignettes/signatureSearchData/inst/doc/signatureSearchData.html vignetteTitles: signatureSearchData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/signatureSearchData/inst/doc/signatureSearchData.R importsMe: DFD suggestsMe: signatureSearch dependencyCount: 106 Package: SimBenchData Version: 1.10.0 Depends: ExperimentHub Imports: S4Vectors, utils Suggests: BiocStyle, knitr, rmarkdown, Seurat License: GPL-3 MD5sum: c801056ea68c668cd98230e8956d551b NeedsCompilation: no Title: SimBenchData: a collection of 35 single-cell RNA-seq data covering a wide range of data characteristics Description: The SimBenchData package contains a total of 35 single-cell RNA-seq datasets covering a wide range of data characteristics, including major sequencing protocols, multiple tissue types, and both human and mouse sources. biocViews: ExperimentHub, ExperimentData, SingleCellData, RNASeqData, Tissue, SequencingData Author: Yue Cao [aut, cre], Pengyi Yang [aut], Jean Yee Hwa Yang [aut] Maintainer: Yue Cao VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SimBenchData git_branch: RELEASE_3_18 git_last_commit: 42c7e7a git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SimBenchData_1.10.0.tar.gz vignettes: vignettes/SimBenchData/inst/doc/SimBenchData-vignette.html vignetteTitles: SimBenchData: a collection of single-cell RNA-seq data covering a wide range of data characteristics hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SimBenchData/inst/doc/SimBenchData-vignette.R dependencyCount: 95 Package: simpIntLists Version: 1.38.0 License: GPL (>= 2) MD5sum: 9dbe0a1f390843a49bb11d05ac5f2e28 NeedsCompilation: no Title: The package contains BioGRID interactions for various organisms in a simple format Description: The package contains BioGRID interactions for arabidopsis(thale cress), c.elegans, fruit fly, human, mouse, yeast( budding yeast ) and S.pombe (fission yeast) . Entrez ids, official names and unique ids can be used to find proteins. The format of interactions are lists. For each gene/protein, there is an entry in the list with "name" containing name of the gene/protein and "interactors" containing the list of genes/proteins interacting with it. biocViews: ExperimentData, Arabidopsis_thaliana_Data Author: Kircicegi Korkmaz, Volkan Atalay, Rengul Cetin-Atalay Maintainer: Kircicegi Korkmaz git_url: https://git.bioconductor.org/packages/simpIntLists git_branch: RELEASE_3_18 git_last_commit: c8ebf05 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/simpIntLists_1.38.0.tar.gz vignettes: vignettes/simpIntLists/inst/doc/simpIntLists.pdf vignetteTitles: simpIntLists hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/simpIntLists/inst/doc/simpIntLists.R dependsOnMe: ibh suggestsMe: GeneNetworkBuilder dependencyCount: 0 Package: Single.mTEC.Transcriptomes Version: 1.30.0 Depends: R (>= 3.5.0) Suggests: DESeq2, GenomicRanges, GenomicFeatures, genefilter, statmod, gdata, RColorBrewer, ggplot2, gplots, cluster, clue, grid, gridExtra, ggbio, Gviz, geneplotter, matrixStats, pheatmap, BiocStyle, knitr, BiocParallel License: LGPL MD5sum: 574ee45ff1177688d68e6ae8295e67a2 NeedsCompilation: no Title: Single Cell Transcriptome Data and Analysis of Mouse mTEC cells Description: This data package contains the code used to analyse the single-cell RNA-seq and the bulk ATAC-seq data from the manuscript titled: Single-cell transcriptome analysis reveals coordinated ectopic-gene expression patterns in medullary thymic epithelial cells. This paper was published in Nature Immunology 16,933-941(2015). The data objects provided in this package has been pre-processed: the raw data files can be downloaded from ArrayExpress under the accession identifiers E-MTAB-3346 and E-MTAB-3624. The vignette of this data package provides a documented and reproducible workflow that includes the code that was used to generate each statistic and figure from the manuscript. biocViews: ExperimentData Author: Alejandro Reyes Maintainer: Alejandro Reyes VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/Single.mTEC.Transcriptomes git_branch: RELEASE_3_18 git_last_commit: 97cfae5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/Single.mTEC.Transcriptomes_1.30.0.tar.gz vignettes: vignettes/Single.mTEC.Transcriptomes/inst/doc/mTECs.pdf vignetteTitles: Analysis of single cell mTEC data. hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/Single.mTEC.Transcriptomes/inst/doc/mTECs.R dependencyCount: 0 Package: SingleCellMultiModal Version: 1.14.0 Depends: R (>= 4.2.0), MultiAssayExperiment Imports: AnnotationHub, BiocBaseUtils, BiocFileCache, ExperimentHub, graphics, HDF5Array, S4Vectors, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, Matrix, methods, utils Suggests: BiocStyle, ggplot2, knitr, RaggedExperiment, rmarkdown, scater, scran, UpSetR, uwot License: Artistic-2.0 MD5sum: e397bc4fbd9ea63f6660758f01d01d38 NeedsCompilation: no Title: Integrating Multi-modal Single Cell Experiment datasets Description: SingleCellMultiModal is an ExperimentHub package that serves multiple datasets obtained from GEO and other sources and represents them as MultiAssayExperiment objects. We provide several multi-modal datasets including scNMT, 10X Multiome, seqFISH, CITEseq, SCoPE2, and others. The scope of the package is is to provide data for benchmarking and analysis. biocViews: ExperimentData, SingleCellData, ReproducibleResearch, ExperimentHub, GEO Author: Marcel Ramos [aut, cre] (), Ricard Argelaguet [aut], Al Abadi [ctb], Dario Righelli [aut], Christophe Vanderaa [ctb], Kelly Eckenrode [aut], Ludwig Geistlinger [aut], Levi Waldron [aut] Maintainer: Marcel Ramos VignetteBuilder: knitr BugReports: https://github.com/waldronlab/SingleCellMultiModal/issues git_url: https://git.bioconductor.org/packages/SingleCellMultiModal git_branch: RELEASE_3_18 git_last_commit: 6a4d037 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SingleCellMultiModal_1.14.0.tar.gz vignettes: vignettes/SingleCellMultiModal/inst/doc/CITEseq.html, vignettes/SingleCellMultiModal/inst/doc/ECCITEseq.html, vignettes/SingleCellMultiModal/inst/doc/GTseq.html, vignettes/SingleCellMultiModal/inst/doc/scMultiome.html, vignettes/SingleCellMultiModal/inst/doc/scNMT.html, vignettes/SingleCellMultiModal/inst/doc/SCoPE2.html, vignettes/SingleCellMultiModal/inst/doc/seqFISH.html, vignettes/SingleCellMultiModal/inst/doc/SingleCellMultiModal.html vignetteTitles: CITEseq Cord Blood, ECCITEseq Peripheral Blood, GT-seq Mouse Embryo, scMultiome 10x PBMC, scNMT Mouse Gastrulation, SCoPE2: macrophage vs monocytes, seqFISH Mouse Visual Cortex, SingleCellMultiModal Introduction hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SingleCellMultiModal/inst/doc/CITEseq.R, vignettes/SingleCellMultiModal/inst/doc/ECCITEseq.R, vignettes/SingleCellMultiModal/inst/doc/GTseq.R, vignettes/SingleCellMultiModal/inst/doc/scMultiome.R, vignettes/SingleCellMultiModal/inst/doc/scNMT.R, vignettes/SingleCellMultiModal/inst/doc/SCoPE2.R, vignettes/SingleCellMultiModal/inst/doc/seqFISH.R, vignettes/SingleCellMultiModal/inst/doc/SingleCellMultiModal.R suggestsMe: decontX, MuData dependencyCount: 116 Package: SingleMoleculeFootprintingData Version: 1.10.0 Imports: ExperimentHub, utils Suggests: knitr, rmarkdown License: GPL-3 MD5sum: 451ecbdbb964607afbbe3b778b290246 NeedsCompilation: no Title: Data supporting the SingleMoleculeFootprinting pkg Description: This Data package contains data objcets relevanat for the SingleMoleculeFootprinting package. More specifically, it contains one example of aligned sequencing data (.bam & .bai) necessary to run the SingleMoleculeFootprinting vignette. Additionally, we provide data that are essential for some functions to work correctly such as BaitCapture() and SampleCorrelation(). biocViews: ExperimentHub, ExperimentData, SequencingData Author: Guido Barzaghi [aut, cre] (), Arnaud Krebs [aut] (), Mike Smith [ctb] () Maintainer: Guido Barzaghi VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SingleMoleculeFootprintingData git_branch: RELEASE_3_18 git_last_commit: 9d50ed3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SingleMoleculeFootprintingData_1.10.0.tar.gz vignettes: vignettes/SingleMoleculeFootprintingData/inst/doc/SingleMoleculeFootprintingData.html vignetteTitles: SingleMoleculeFootprintingData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/SingleMoleculeFootprintingData/inst/doc/SingleMoleculeFootprintingData.R suggestsMe: SingleMoleculeFootprinting dependencyCount: 95 Package: smokingMouse Version: 1.0.0 Suggests: ExperimentHub, AnnotationHubData, BiocStyle, covr, ExperimentHubData, knitr, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0) License: Artistic-2.0 MD5sum: 0c2fad6bf0e911ae8c140c02bc29150e NeedsCompilation: no Title: Provides access to smokingMouse project data Description: This is an ExperimentHub package that provides access to the data at the gene, exon, transcript and junction level used in the analyses of the smokingMouse project. See https://github.com/LieberInstitute/smokingMouse_Indirects. This datasets contain the expression counts of genes, transcripts, exons and exon-exon junctions across 208 mice samples from pup and adult brains and adult blood. They also contain relevant information of these samples and features, such as conditions, QC metrics and if they were used after filtering steps and also if the features were differently expressed in the different experiments. biocViews: ExperimentHub, ExpressionData, Mus_musculus_Data, RNASeqData Author: Daianna Gonzalez-Padilla [aut, cre] () Maintainer: Daianna Gonzalez-Padilla URL: https://github.com/LieberInstitute/smokingMouse VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/smokingMouse git_url: https://git.bioconductor.org/packages/smokingMouse git_branch: RELEASE_3_18 git_last_commit: cb8ad94 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/smokingMouse_1.0.0.tar.gz vignettes: vignettes/smokingMouse/inst/doc/smokingMouse.html vignetteTitles: Introduction to smokingMouse hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/smokingMouse/inst/doc/smokingMouse.R dependencyCount: 0 Package: SNAData Version: 1.48.0 Depends: R (>= 2.4.0), graph Suggests: Rgraphviz License: LGPL MD5sum: bfbd447afa550db44aa1db55e227cc10 NeedsCompilation: no Title: Social Networks Analysis Data Examples Description: Data from Wasserman & Faust (1999) "Social Network Analysis" biocViews: ExperimentData Author: Denise Scholtens Maintainer: Denise Scholtens git_url: https://git.bioconductor.org/packages/SNAData git_branch: RELEASE_3_18 git_last_commit: 20c46b8 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SNAData_1.48.0.tar.gz vignettes: vignettes/SNAData/inst/doc/SNAData.pdf vignetteTitles: SNAData hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SNAData/inst/doc/SNAData.R dependencyCount: 7 Package: SNAGEEdata Version: 1.38.0 Depends: R (>= 2.6.0) Suggests: ALL, hgu95av2.db, SNAGEE License: Artistic-2.0 MD5sum: bfd0a2689cb9ac612cb2f8995c3a03d5 NeedsCompilation: no Title: SNAGEE data Description: SNAGEE data - gene list and correlation matrix biocViews: MicroarrayData Author: David Venet Maintainer: David Venet URL: http://fleming.ulb.ac.be/SNAGEE git_url: https://git.bioconductor.org/packages/SNAGEEdata git_branch: RELEASE_3_18 git_last_commit: 79ebb8d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SNAGEEdata_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: SNAGEE dependencyCount: 0 Package: SNPhoodData Version: 1.32.0 Depends: R (>= 3.2) Suggests: BiocStyle,knitr,rmarkdown License: LGPL (>= 3) MD5sum: 72ac86008c225c71df946cc8a7de1fa1 NeedsCompilation: no Title: Additional and more complex example data for the SNPhood package Description: This companion package for SNPhood provides some example datasets of a larger size than allowed for the SNPhood package. They include full and real-world examples for performing analyses with the SNPhood package. biocViews: ExperimentData Author: Christian Arnold, Judith Zaugg Maintainer: Christian Arnold VignetteBuilder: knitr BugReports: christian.arnold@embl.de git_url: https://git.bioconductor.org/packages/SNPhoodData git_branch: RELEASE_3_18 git_last_commit: cea39c5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SNPhoodData_1.32.0.tar.gz vignettes: vignettes/SNPhoodData/inst/doc/SNPhoodData.html vignetteTitles: The *SNPhoodData* package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SNPhood dependencyCount: 0 Package: SomatiCAData Version: 1.40.0 Depends: R (>= 2.14) License: Artistic-2.0 MD5sum: 31d9100d6b5fa5f95c59eda9995f2684 NeedsCompilation: no Title: An example cancer whole genome sequencing data for the SomatiCA package Description: An example cancer whole genome sequencing data for the SomatiCA package biocViews: ExperimentData, Genome, CancerData, SequencingData Author: Mengjie Chen Maintainer: Mengjie Chen git_url: https://git.bioconductor.org/packages/SomatiCAData git_branch: RELEASE_3_18 git_last_commit: cee61d4 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SomatiCAData_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: SomaticCancerAlterations Version: 1.38.0 Depends: R (>= 3.5.0) Imports: GenomicRanges, IRanges, S4Vectors Suggests: testthat, ggbio, ggplot2, knitr License: GPL-3 MD5sum: 77b2b0312705c2a9581cdf7aab591db8 NeedsCompilation: no Title: Somatic Cancer Alterations Description: Collection of somatic cancer alteration datasets biocViews: ExperimentData, Genome, CancerData, Project1000genomes, NCI Author: Julian Gehring Maintainer: Julian Gehring VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/SomaticCancerAlterations git_branch: RELEASE_3_18 git_last_commit: 37a1303 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SomaticCancerAlterations_1.38.0.tar.gz vignettes: vignettes/SomaticCancerAlterations/inst/doc/SomaticCancerAlterations-html.html vignetteTitles: SomaticCancerAlterations - HTML hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SomaticCancerAlterations/inst/doc/SomaticCancerAlterations-html.R suggestsMe: SomaticSignatures dependencyCount: 16 Package: SpatialDatasets Version: 1.0.0 Depends: ExperimentHub, SpatialExperiment, Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: GPL-3 MD5sum: 36fd913ef0d7109d0be40afbc1255548 NeedsCompilation: no Title: Collection of spatial omics datasets Description: This is a collection of publically available spatial omics datasets. Where possible we have curated these datasets as either SpatialExperiments, MoleculeExperiments or CytoImageLists and included annotations of the sample characteristics. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, SingleCellData, SpatialData, Homo_sapiens_Data, Mus_musculus_Data Author: Farhan Ameen [aut], Nick Robertson [aut], Alex Qin [aut], Elijah Willie [aut], Ellis Patrick [aut, cre] Maintainer: Ellis Patrick URL: https://github.com/SydneyBioX/SpatialDatasets VignetteBuilder: knitr BugReports: https://github.com/SydneyBioX/SpatialDatasets/issues git_url: https://git.bioconductor.org/packages/SpatialDatasets git_branch: RELEASE_3_18 git_last_commit: a93a6e3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SpatialDatasets_1.0.0.tar.gz vignettes: vignettes/SpatialDatasets/inst/doc/SpatialDatasets_overview.html vignetteTitles: The SpatialDataset package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SpatialDatasets/inst/doc/SpatialDatasets_overview.R dependencyCount: 110 Package: spatialDmelxsim Version: 1.8.0 Depends: R (>= 4.1), ExperimentHub, SummarizedExperiment Imports: utils Suggests: knitr, rmarkdown, BiocStyle License: GPL-3 MD5sum: 2fec38c7672022e76f2b7a7ba7b9a677 NeedsCompilation: no Title: Spatial allelic expression counts for fly cross embryo Description: Spatial allelic expression counts from Combs & Fraser (2018), compiled into a SummarizedExperiment object. This package contains data of allelic expression counts of spatial slices of a fly embryo, a Drosophila melanogaster x Drosophila simulans cross. See the CITATION file for the data source, and the associated script for how the object was constructed from publicly available data. biocViews: ExperimentHub, SequencingData, RNASeqData, ExpressionData, Drosophila_melanogaster_Data, GEO Author: Michael Love [aut, cre] Maintainer: Michael Love URL: https://github.com/mikelove/spatialDmelxsim VignetteBuilder: knitr BugReports: https://github.com/mikelove/spatialDmelxsim/issues git_url: https://git.bioconductor.org/packages/spatialDmelxsim git_branch: RELEASE_3_18 git_last_commit: 13717a1 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/spatialDmelxsim_1.8.0.tar.gz vignettes: vignettes/spatialDmelxsim/inst/doc/spatialDmelxsim.html vignetteTitles: spatialDmelxsim hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/spatialDmelxsim/inst/doc/spatialDmelxsim.R dependencyCount: 106 Package: spatialLIBD Version: 1.14.1 Depends: SpatialExperiment (>= 1.3.3), R (>= 3.6) Imports: shiny, golem, ggplot2, cowplot, plotly, viridisLite, shinyWidgets, sessioninfo, grid, grDevices, methods, AnnotationHub, utils, png, scater, DT, ExperimentHub, RColorBrewer, SummarizedExperiment, stats, graphics, S4Vectors, IRanges, fields, benchmarkme, SingleCellExperiment, BiocFileCache, jsonlite, tibble, rtracklayer, Matrix, BiocGenerics, GenomicRanges, magick, paletteer, scuttle, edgeR, limma, statmod Suggests: knitr, RefManageR, rmarkdown, BiocStyle, testthat (>= 2.1.0), covr, here, BiocManager, lobstr, DropletUtils License: Artistic-2.0 MD5sum: cd8c85a03e555f2dfdeb1627f7087002 NeedsCompilation: no Title: spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data Description: Inspect interactively the spatially-resolved transcriptomics data from the 10x Genomics Visium platform as well as data from the Maynard, Collado-Torres et al, Nature Neuroscience, 2021 project analyzed by Lieber Institute for Brain Development (LIBD) researchers and collaborators. biocViews: Homo_sapiens_Data, ExperimentHub, SequencingData, SingleCellData, ExpressionData, Tissue, PackageTypeData, SpatialData Author: Leonardo Collado-Torres [aut, cre] (), Kristen R. Maynard [ctb] (), Andrew E. Jaffe [ctb] (), Brenda Pardo [ctb] (), Abby Spangler [ctb] (), Jesús Vélez Santiago [ctb] (), Lukas M. Weber [ctb] (), Louise Huuki-Myers [ctb] (), Nicholas Eagles [ctb] () Maintainer: Leonardo Collado-Torres URL: https://github.com/LieberInstitute/spatialLIBD VignetteBuilder: knitr BugReports: https://support.bioconductor.org/tag/spatialLIBD git_url: https://git.bioconductor.org/packages/spatialLIBD git_branch: RELEASE_3_18 git_last_commit: f4467b9 git_last_commit_date: 2023-11-29 Date/Publication: 2023-11-30 source.ver: src/contrib/spatialLIBD_1.14.1.tar.gz vignettes: vignettes/spatialLIBD/inst/doc/guide_to_spatial_registration.html, vignettes/spatialLIBD/inst/doc/spatialLIBD.html, vignettes/spatialLIBD/inst/doc/TenX_data_download.html vignetteTitles: Guide to Spatial Registration, Introduction to spatialLIBD, Using spatialLIBD with 10x Genomics public datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/spatialLIBD/inst/doc/guide_to_spatial_registration.R, vignettes/spatialLIBD/inst/doc/spatialLIBD.R, vignettes/spatialLIBD/inst/doc/TenX_data_download.R suggestsMe: BayesSpace, DESpace dependencyCount: 201 Package: SpikeIn Version: 1.44.0 Depends: R (>= 2.10), affy (>= 1.23.4) License: Artistic-2.0 MD5sum: 439f9d2eda54024edb7c1c81862d74c8 NeedsCompilation: no Title: Affymetrix Spike-In Experiment Data Description: Contains the HGU133 and HGU95 spikein experiment data. biocViews: ExperimentData, MicroarrayData Author: Rafael Irizarry Maintainer: Robert D Shear URL: https://bioconductor.org/packages/SpikeIn BugReports: https://github.com/rafalab/SpikeIn/issues git_url: https://git.bioconductor.org/packages/SpikeIn git_branch: RELEASE_3_18 git_last_commit: 5dc4781 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SpikeIn_1.44.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: PECA dependencyCount: 12 Package: SpikeInSubset Version: 1.42.0 Depends: R (>= 2.4.0), Biobase (>= 2.5.5), affy (>= 1.23.4) License: LGPL MD5sum: 0c9b5af679c89a1468c9a6f581202e2b NeedsCompilation: no Title: Part of Affymetrix's Spike-In Experiment Data Description: Includes probe-level and expression data for the HGU133 and HGU95 spike-in experiments biocViews: ExperimentData, MicroarrayData Author: Rafael Irizarry and Zhijin Wu Maintainer: Robert D Shear URL: https://bioconductor.org/packages/SpikeInSubset BugReports: https://github.com/rafalab/SpikeInSubset/issues git_url: https://git.bioconductor.org/packages/SpikeInSubset git_branch: RELEASE_3_18 git_last_commit: 346a7b0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SpikeInSubset_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 12 Package: spqnData Version: 1.14.0 Depends: R (>= 4.0), SummarizedExperiment License: Artistic-2.0 MD5sum: 453bf944ea40956afef2bd868f92d747 NeedsCompilation: no Title: Data for the spqn package Description: Bulk RNA-seq from GTEx on 4,000 randomly selected, expressed genes. Data has been processed for co-expression analysis. biocViews: Homo_sapiens_Data, ExpressionData, Tissue, RNASeqData Author: Yi Wang [cre, aut], Kasper Daniel Hansen [aut] Maintainer: Yi Wang git_url: https://git.bioconductor.org/packages/spqnData git_branch: RELEASE_3_18 git_last_commit: 123e5e9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/spqnData_1.14.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: spqn dependencyCount: 29 Package: stemHypoxia Version: 1.38.0 Depends: R (>= 2.14.1) License: GPL (>=2) MD5sum: 22ec9d76cac05ac7118873f7815225ba NeedsCompilation: no Title: Differentiation of Human Embryonic Stem Cells under Hypoxia gene expression dataset by Prado-Lopez et al. (2010) Description: Expression profiling using microarray technology to prove if 'Hypoxia Promotes Efficient Differentiation of Human Embryonic Stem Cells to Functional Endothelium' by Prado-Lopez et al. (2010) Stem Cells 28:407-418. Full data available at Gene Expression Omnibus series GSE37761. biocViews: ExperimentData, Tissue, StemCell, Homo_sapiens_Data, CancerData, MicroarrayData, TissueMicroarrayData, GEO Author: Cristobal Fresno and Elmer A. Fernandez Maintainer: Cristobal Fresno URL: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37761, http://onlinelibrary.wiley.com/doi/10.1002/stem.295/abstract git_url: https://git.bioconductor.org/packages/stemHypoxia git_branch: RELEASE_3_18 git_last_commit: 97a1907 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/stemHypoxia_1.38.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: lmdme dependencyCount: 0 Package: STexampleData Version: 1.10.1 Depends: ExperimentHub, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown, BumpyMatrix License: MIT + file LICENSE MD5sum: 99518bc21109a50be767898bfc7d904b NeedsCompilation: no Title: Collection of spatially-resolved transcriptomics datasets in SpatialExperiment Bioconductor format Description: Collection of spatially-resolved transcriptomics (SRT) datasets in SpatialExperiment Bioconductor format, for use in examples, demonstrations, and tutorials. The datasets are from several different SRT platforms and have been sourced from various publicly available sources. Several datasets include images and/or ground truth annotation labels. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, ExpressionData, SingleCellData, SpatialData, Homo_sapiens_Data, Mus_musculus_Data Author: Lukas M. Weber [aut, cre] () Maintainer: Lukas M. Weber URL: https://github.com/lmweber/STexampleData VignetteBuilder: knitr BugReports: https://github.com/lmweber/STexampleData/issues git_url: https://git.bioconductor.org/packages/STexampleData git_branch: RELEASE_3_18 git_last_commit: 0c643ba git_last_commit_date: 2024-03-17 Date/Publication: 2024-03-19 source.ver: src/contrib/STexampleData_1.10.1.tar.gz vignettes: vignettes/STexampleData/inst/doc/STexampleData_overview.html vignetteTitles: STexampleData package overview hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/STexampleData/inst/doc/STexampleData_overview.R suggestsMe: escheR, ggsc, ggspavis, nnSVG dependencyCount: 110 Package: stjudem Version: 1.42.0 Depends: R (>= 2.10), utils License: LGPL (>= 2) MD5sum: 4c6868a60726df51408834a227e551bf NeedsCompilation: no Title: Microarray Data from Yeoh et al. in MACAT format Description: This is a microarray data set on acute lymphoblastic leukemia, published in 2002 (Yeoh et al.Cancer Cell 2002). The experiments were conducted in the St.Jude Children's Research Hospital, Memphis, Tenessee, USA. The raw data was preprocessed by variance stabilizing normalization (Huber et al.) on probe and subsequent summarization of probe expression values into probe set expression values using median polish. biocViews: ExperimentData, CancerData, LeukemiaCancerData, MicroarrayData, ChipOnChipData Author: Benjamin Georgi, Matthias Heinig, Sebastian Schmeier, Joern Toedling Maintainer: Joern Toedling PackageStatus: Deprecated git_url: https://git.bioconductor.org/packages/stjudem git_branch: RELEASE_3_18 git_last_commit: 356d8ad git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/stjudem_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: macat dependencyCount: 1 Package: SVM2CRMdata Version: 1.34.0 Depends: R(>= 3.2.0) License: LGPL (>= 2) MD5sum: ce0c6615bfbb9a5a7cf4eeab0bd6199d NeedsCompilation: no Title: An example dataset for use with the SVM2CRM package Description: An example dataset for use with the SVM2CRM package. biocViews: ExperimentData, ChIPSeq, HistoneModification, Preprocessing, DataImport Author: Guidantonio Malagoli Tagliazucchi Maintainer: Guidantonio Malagoli Tagliazucchi git_url: https://git.bioconductor.org/packages/SVM2CRMdata git_branch: RELEASE_3_18 git_last_commit: ea82b46 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/SVM2CRMdata_1.34.0.tar.gz vignettes: vignettes/SVM2CRMdata/inst/doc/SVM2CRMdata.pdf vignetteTitles: The \Rpackage{SVM2CRMdata} Package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/SVM2CRMdata/inst/doc/SVM2CRMdata.R dependencyCount: 0 Package: synapterdata Version: 1.40.0 Depends: R (>= 2.10), synapter (>= 1.99.2) Imports: utils License: GPL-2 MD5sum: 255aa756f0b6c0c1d95cdfbc889a67a2 NeedsCompilation: no Title: Data accompanying the synapter package Description: Data independant acquisition of UPS1 protein mix in an E. coli background obtained on a Waters Synapt G2 instrument. biocViews: ExperimentData, MassSpectrometryData Author: Laurent Gatto, Sebastian Gibb and Pavel V. Shliaha Maintainer: Laurent Gatto git_url: https://git.bioconductor.org/packages/synapterdata git_branch: RELEASE_3_18 git_last_commit: 6e59823 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/synapterdata_1.40.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: synapter dependencyCount: 123 Package: systemPipeRdata Version: 2.6.0 Imports: methods, Biostrings, BiocGenerics, jsonlite, remotes Suggests: GenomicFeatures, GenomicRanges, IRanges, Rsamtools, ShortRead, rtracklayer, RUnit, BiocStyle, knitr, rmarkdown, systemPipeR License: Artistic-2.0 MD5sum: 1af59929fb95c3a017b88fce32a4c833 NeedsCompilation: no Title: systemPipeRdata: Workflow templates and sample data Description: systemPipeRdata is a helper package to generate with a single command NGS workflow templates that are intended to be used by its parent package systemPipeR. The latter is an environment for building end-to-end analysis pipelines with automated report generation for next generation sequence (NGS) applications such as RNA-Seq, RIBO-Seq, ChIP-Seq, VAR-Seq and many others. Detailed examples for using systemPipeRdata are given in systemPipeR's overview vignette. biocViews: Genetics, Infrastructure, DataImport, Sequencing, RNASeq, ChIPSeq, MethylSeq, SNP, GeneExpression, Coverage, GeneSetEnrichment, Alignment, QualityControl, ImmunoOncology, RiboSeq, WorkflowStep Author: Thomas Girke Maintainer: Thomas Girke URL: https://github.com/tgirke/systemPipeRdata, https://systempipe.org/ VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/systemPipeRdata git_branch: RELEASE_3_18 git_last_commit: b3365d5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/systemPipeRdata_2.6.0.tar.gz vignettes: vignettes/systemPipeRdata/inst/doc/SPblast.html, vignettes/systemPipeRdata/inst/doc/SPcheminfo.html, vignettes/systemPipeRdata/inst/doc/SPscrna.html, vignettes/systemPipeRdata/inst/doc/systemPipeChIPseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeRdata.html, vignettes/systemPipeRdata/inst/doc/systemPipeRIBOseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeRNAseq.html, vignettes/systemPipeRdata/inst/doc/systemPipeVARseq.html vignetteTitles: WF: BLAST Template, WF: Cheminformatics Drug Similarity Template, WF: Basic Single Cell Template, WF: ChIP-Seq Workflow Template, systemPipeRdata: Workflow templates and sample data, WF: RIBO-Seq Workflow Template, WF: RNA-Seq Workflow Template, WF: VAR-Seq Template hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/systemPipeRdata/inst/doc/SPblast.R, vignettes/systemPipeRdata/inst/doc/SPcheminfo.R, vignettes/systemPipeRdata/inst/doc/SPscrna.R, vignettes/systemPipeRdata/inst/doc/systemPipeChIPseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeRdata.R, vignettes/systemPipeRdata/inst/doc/systemPipeRIBOseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeRNAseq.R, vignettes/systemPipeRdata/inst/doc/systemPipeVARseq.R suggestsMe: systemPipeR, systemPipeShiny dependencyCount: 20 Package: TabulaMurisData Version: 1.20.0 Depends: R (>= 3.5) Imports: ExperimentHub, utils Suggests: knitr, rmarkdown, BiocStyle, SingleCellExperiment, scran, scater, iSEE, testthat License: MIT + file LICENSE MD5sum: 39c27cc6646ea3bcdb4637a226b219b8 NeedsCompilation: no Title: 10x And SmartSeq2 Data From The Tabula Muris Consortium Description: Access to processed 10x (droplet) and SmartSeq2 (on FACS-sorted cells) single-cell RNA-seq data from the Tabula Muris consortium (http://tabula-muris.ds.czbiohub.org/). biocViews: SingleCellData, ExperimentData, RNASeqData Author: Charlotte Soneson [aut, cre] () Maintainer: Charlotte Soneson VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TabulaMurisData git_branch: RELEASE_3_18 git_last_commit: f4c0e08 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TabulaMurisData_1.20.0.tar.gz vignettes: vignettes/TabulaMurisData/inst/doc/TabulaMurisData.html vignetteTitles: Tabula Muris data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TabulaMurisData/inst/doc/TabulaMurisData.R dependencyCount: 95 Package: TabulaMurisSenisData Version: 1.8.0 Imports: ExperimentHub, SingleCellExperiment, HDF5Array, SummarizedExperiment, gdata, AnnotationHub Suggests: ggplot2, testthat, knitr, rmarkdown, iSEE, BiocStyle License: MIT + file LICENSE MD5sum: 6d6120b18adce70e943a3da8e0e577b2 NeedsCompilation: no Title: Bulk and single-cell RNA-seq data from the Tabula Muris Senis project Description: This package provides access to RNA-seq data generated by the Tabula Muris Senis project via the Bioconductor project. The data is made available without restrictions by the Chan Zuckerberg Biohub. It is provided here without further processing, collected in the form of SingleCellExperiment objects. biocViews: SingleCellData, ExperimentData, RNASeqData, ExperimentHub Author: Charlotte Soneson [aut, cre] (), Dania Machlab [aut] (), Federico Marini [aut] (), Stefania Astrologo [aut] () Maintainer: Charlotte Soneson URL: https://github.com/fmicompbio/TabulaMurisSenisData VignetteBuilder: knitr BugReports: https://github.com/fmicompbio/TabulaMurisSenisData/issues git_url: https://git.bioconductor.org/packages/TabulaMurisSenisData git_branch: RELEASE_3_18 git_last_commit: 962d71c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TabulaMurisSenisData_1.8.0.tar.gz vignettes: vignettes/TabulaMurisSenisData/inst/doc/TabulaMurisSenisData.html vignetteTitles: TabulaMurisSenisData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TabulaMurisSenisData/inst/doc/TabulaMurisSenisData.R suggestsMe: SPOTlight dependencyCount: 113 Package: TargetScoreData Version: 1.38.0 Suggests: TargetScore, gplots License: GPL-2 MD5sum: 61084f230f2c3dedb27988867f07f50f NeedsCompilation: no Title: TargetScoreData Description: Precompiled and processed miRNA-overexpression fold-changes from 84 Gene Expression Omnibus (GEO) series corresponding to 6 platforms, 77 human cells or tissues, and 113 distinct miRNAs. Accompanied with the data, we also included in this package the sequence feature scores from TargetScanHuman 6.1 including the context+ score and the probabilities of conserved targeting for each miRNA-mRNA interaction. Thus, the user can use these static sequence-based scores together with user-supplied tissue/cell-specific fold-change due to miRNA overexpression to predict miRNA targets using the package TargetScore (download separately) biocViews: ExperimentData, RNASeqData, miRNAData Author: Yue Li Maintainer: Yue Li git_url: https://git.bioconductor.org/packages/TargetScoreData git_branch: RELEASE_3_18 git_last_commit: 4d2f19e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TargetScoreData_1.38.0.tar.gz vignettes: vignettes/TargetScoreData/inst/doc/TargetScoreData.pdf vignetteTitles: Processed human microRNA-overexpression data from GEO,, and sequence information from TargetScan,, and targetScore from TargetScore hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TargetScoreData/inst/doc/TargetScoreData.R suggestsMe: TargetScore dependencyCount: 0 Package: TargetSearchData Version: 1.40.0 License: GPL (>= 2) MD5sum: 96bbec70706d8adcf4ee321261620d79 NeedsCompilation: no Title: Example GC-MS data for TargetSearch Package Description: Example files of GC-MS data for the TargetSearch Package. The package contains raw NetCDF files from a E.coli salt stress experiment, extracted peak lists, and sample metadata required for a GC-MS analysis. The raw data has been restricted for demonstration purposes. biocViews: ExperimentData, Escherichia_coli_Data Author: Alvaro Cuadros-Inostroza [aut, cre], Jan Lisec [aut], Henning Redestig [aut], Matt Hannah [aut] Maintainer: Alvaro Cuadros-Inostroza URL: https://github.com/acinostroza/TargetSearchData BugReports: https://github.com/acinostroza/TargetSearchData/issues git_url: https://git.bioconductor.org/packages/TargetSearchData git_branch: RELEASE_3_18 git_last_commit: 7c06ae3 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TargetSearchData_1.40.0.tar.gz vignettes: vignettes/TargetSearchData/inst/doc/TargetSearchData.pdf vignetteTitles: The TargetSearchData Package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TargetSearchData/inst/doc/TargetSearchData.R suggestsMe: TargetSearch dependencyCount: 0 Package: tartare Version: 1.16.0 Depends: R (>= 4.1), AnnotationHub (>= 2.16), ExperimentHub (>= 1.0) Imports: utils Suggests: BiocStyle, knitr, rmarkdown, testthat, tools License: GPL-3 MD5sum: 869743e16f05bc962de518ca925750d8 NeedsCompilation: no Title: Raw ground spectra recorded on Thermo Fisher Scientific mass spectrometers Description: Provides raw files recorded on different Liquid Chromatography Mass Spectrometry (LC-MS) instruments. All included MS instruments are manufactured by Thermo Fisher Scientific and belong to the Orbitrap Tribrid or Q Exactive Orbitrap family of instruments. Despite their common origin and shared hardware components, e.g., Orbitrap mass analyser, the above instruments tend to write data in different "dialects" in a shared binary file format (.raw). The intention behind tartare is to provide complex but slim real-world files that can be used to make code robust with respect to this diversity. In other words, it is intended for enhanced unit testing. The package is considered to be used with the rawrr package and the Spectra MsBackends. biocViews: ExperimentData, MassSpectrometryData, ExperimentHub Author: Christian Panse [aut, cre] (), Tobias Kockmann [aut] () Maintainer: Christian Panse URL: https://github.com/cpanse/tartare VignetteBuilder: knitr BugReports: https://github.com/cpanse/tartare/issues git_url: https://git.bioconductor.org/packages/tartare git_branch: RELEASE_3_18 git_last_commit: decd44d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tartare_1.16.0.tar.gz vignettes: vignettes/tartare/inst/doc/tartare.html vignetteTitles: make and use tartare data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tartare/inst/doc/tartare.R suggestsMe: MsBackendRawFileReader, rawrr dependencyCount: 95 Package: TBX20BamSubset Version: 1.38.0 Depends: Rsamtools (>= 1.9.8) Imports: xtable License: LGPL MD5sum: c158901ec6203e85569c600efb335ccf NeedsCompilation: no Title: Subset of BAM files from the "TBX20" experiment Description: Dual transcriptional activator and repressor roles of TBX20 regulate adult cardiac structure and function. A subset of the RNA-Seq data. biocViews: ExperimentData, SequencingData, RNASeqData Author: D. Bindreither Maintainer: D. Bindreither git_url: https://git.bioconductor.org/packages/TBX20BamSubset git_branch: RELEASE_3_18 git_last_commit: 8616b9d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TBX20BamSubset_1.38.0.tar.gz vignettes: vignettes/TBX20BamSubset/inst/doc/TBX20BamSubset.pdf vignetteTitles: TBX20 RNA-Seq data subset hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TBX20BamSubset/inst/doc/TBX20BamSubset.R importsMe: Rmmquant suggestsMe: APAlyzer, magpie dependencyCount: 32 Package: TCGAbiolinksGUI.data Version: 1.22.0 Depends: R (>= 3.5.0) Suggests: BiocStyle, knitr, rmarkdown, readr, DT License: GPL-3 MD5sum: bd2042c0064583d666364a52ce3be17e NeedsCompilation: no Title: Data for the TCGAbiolinksGUI package Description: Supporting data for the TCGAbiolinksGUI package. biocViews: AssayDomainData, TechnologyData, OrganismData Author: Tiago Chedraoui Silva Maintainer: Tiago Chedraoui Silva URL: https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data VignetteBuilder: knitr BugReports: https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data/issues git_url: https://git.bioconductor.org/packages/TCGAbiolinksGUI.data git_branch: RELEASE_3_18 git_last_commit: c3631f0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TCGAbiolinksGUI.data_1.22.0.tar.gz vignettes: vignettes/TCGAbiolinksGUI.data/inst/doc/vignettes.html vignetteTitles: Supporting data for the TCGAbiolinksGUI package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAbiolinksGUI.data/inst/doc/vignettes.R importsMe: TCGAbiolinks dependencyCount: 0 Package: TCGAcrcmiRNA Version: 1.22.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: 451d09b5ec341d7e92211a1d42c35947 NeedsCompilation: no Title: TCGA CRC 450 miRNA dataset Description: colorectal cancer miRNA profile provided by TCGA biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/TCGAcrcmiRNA git_branch: RELEASE_3_18 git_last_commit: 4ba030d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TCGAcrcmiRNA_1.22.0.tar.gz vignettes: vignettes/TCGAcrcmiRNA/inst/doc/TcgaCrcVignette.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAcrcmiRNA/inst/doc/TcgaCrcVignette.R dependencyCount: 6 Package: TCGAcrcmRNA Version: 1.22.0 Depends: R (>= 3.0), Biobase License: GPL-2 MD5sum: bb9300e6ad6e4e5435a31487fdc22ed6 NeedsCompilation: no Title: TCGA CRC 450 mRNA dataset Description: colorectal cancer mRNA profile provided by TCGA biocViews: ExperimentData, CancerData Author: Claudio Isella Maintainer: Claudio Isella git_url: https://git.bioconductor.org/packages/TCGAcrcmRNA git_branch: RELEASE_3_18 git_last_commit: ccf8957 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TCGAcrcmRNA_1.22.0.tar.gz vignettes: vignettes/TCGAcrcmRNA/inst/doc/TcgaCrcVignette.pdf hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAcrcmRNA/inst/doc/TcgaCrcVignette.R dependencyCount: 6 Package: TCGAMethylation450k Version: 1.38.0 License: GPL-2 MD5sum: e913aa3b85d5cd1d0b27a346daf8c9ee NeedsCompilation: no Title: The Cancer Genome Atlas Illumina 450k methylation example data Description: The Cancer Genome Atlas (TCGA) is applying genomics technologies to over 20 different types of cancer. This package contains a small set of 450k array data in idat format. biocViews: Genome, CancerData, MethylationArrayData Author: Sean Davis Maintainer: Sean Davis git_url: https://git.bioconductor.org/packages/TCGAMethylation450k git_branch: RELEASE_3_18 git_last_commit: 12d29f2 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TCGAMethylation450k_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: methylumi dependencyCount: 0 Package: TCGAWorkflowData Version: 1.26.0 Depends: R (>= 3.5.0) Imports: SummarizedExperiment Suggests: knitr, rmarkdown, pander, testthat, BiocStyle License: GPL-3 MD5sum: cbba498f1922aeedadf96a1911a81751 NeedsCompilation: no Title: Data for TCGA Workflow Description: This experimental data package contains 11 data sets necessary to follow the "TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages". biocViews: ExperimentData, Homo_sapiens_Data, MicroarrayData, CancerData Author: Tiago Chedraoui Silva Maintainer: Tiago Chedraoui Silva URL: https://f1000research.com/articles/5-1542/v2 VignetteBuilder: knitr BugReports: https://github.com/BioinformaticsFMRP/TCGAWorkflow/issues git_url: https://git.bioconductor.org/packages/TCGAWorkflowData git_branch: RELEASE_3_18 git_last_commit: 556a052 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TCGAWorkflowData_1.26.0.tar.gz vignettes: vignettes/TCGAWorkflowData/inst/doc/TCGAWorkflowData.html vignetteTitles: 'Example data for TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages' hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TCGAWorkflowData/inst/doc/TCGAWorkflowData.R importsMe: TCGAWorkflow dependencyCount: 29 Package: TENxBrainData Version: 1.22.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub (>= 2.9.22), ExperimentHub Suggests: knitr, BiocStyle, snow, BiocFileCache, BiocParallel, data.table, rmarkdown License: CC BY 4.0 MD5sum: 1fa1b93ab8d144b860c83dc5741490a0 NeedsCompilation: no Title: Data from the 10X 1.3 Million Brain Cell Study Description: Single-cell RNA-seq data for 1.3 million brain cells from E18 mice, generated by 10X Genomics. biocViews: SequencingData, RNASeqData, ExpressionData, SingleCellData Author: Aaron Lun [aut], Martin Morgan [aut], Bioconductor Package Maintainer [cre] Maintainer: Bioconductor Package Maintainer VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TENxBrainData git_branch: RELEASE_3_18 git_last_commit: 2b732db git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TENxBrainData_1.22.0.tar.gz vignettes: vignettes/TENxBrainData/inst/doc/TENxBrainData.html vignetteTitles: Exploring the 1.3 million brain cell scRNA-seq data from 10X Genomics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TENxBrainData/inst/doc/TENxBrainData.R dependsOnMe: OSCA.advanced suggestsMe: HDF5Array dependencyCount: 111 Package: TENxBUSData Version: 1.16.0 Imports: ExperimentHub, AnnotationHub, utils, BiocGenerics Suggests: knitr, rmarkdown, BiocStyle License: BSD_2_clause + file LICENSE MD5sum: 35be2bd3c806b055fc9463e8f135dd32 NeedsCompilation: no Title: Single cell dataset from 10x in BUS format Description: Download Barcode, UMI, and Set (BUS) format of 10x datasets from within R. This package accompanies the package BUSpaRse, which can load BUS format into R as a sparse matrix, and which has utility functions related to using the C++ command line package bustools. biocViews: SingleCellData, SequencingData, ExperimentHub, ExperimentData, ExpressionData Author: Lambda Moses [aut, cre] () Maintainer: Lambda Moses URL: https://github.com/BUStools/TENxBUSData VignetteBuilder: knitr BugReports: https://github.com/BUStools/TENxBUSData/issues git_url: https://git.bioconductor.org/packages/TENxBUSData git_branch: RELEASE_3_18 git_last_commit: 8f20078 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TENxBUSData_1.16.0.tar.gz vignettes: vignettes/TENxBUSData/inst/doc/downloading-10x-hgmm-data.html vignetteTitles: Downloading BUS data hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TENxBUSData/inst/doc/downloading-10x-hgmm-data.R suggestsMe: BUSpaRse dependencyCount: 95 Package: TENxPBMCData Version: 1.20.0 Depends: SingleCellExperiment, HDF5Array Imports: AnnotationHub, ExperimentHub Suggests: rmarkdown, knitr, BiocStyle, snow, BiocFileCache, BiocParallel License: CC BY 4.0 MD5sum: 3e6c961a01998667f37de542858dbc09 NeedsCompilation: no Title: PBMC data from 10X Genomics Description: Single-cell RNA-seq data for on PBMC cells, generated by 10X Genomics. biocViews: SequencingData, RNASeqData, ExpressionData, ExperimentHub, ExperimentData, SingleCellData Author: Kasper D. Hansen [aut], Davide Risso [aut], Milan Malfait [ctb], Jeroen Gilis [ctb], Theodore Killian [ctb], Murat Cem Kose [ctb], Chong Tang [ctb], Teun van den Brand [ctb], Dania Machlab [ctb], Stephanie Hicks [aut, cre] Maintainer: Stephanie Hicks VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TENxPBMCData git_branch: RELEASE_3_18 git_last_commit: 0039287 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TENxPBMCData_1.20.0.tar.gz vignettes: vignettes/TENxPBMCData/inst/doc/TENxPBMCData.html vignetteTitles: Obtaining scRNA-seq data on PBMCs from 10X Genomics hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TENxPBMCData/inst/doc/TENxPBMCData.R dependsOnMe: OSCA.multisample, SingleRBook importsMe: singleCellTK suggestsMe: adverSCarial, ASURAT, celda, concordexR, decontX, ExperimentSubset, glmGamPoi, iSEE, mbkmeans, schex, scone, scry, transformGamPoi dependencyCount: 111 Package: TENxVisiumData Version: 1.10.0 Depends: ExperimentHub, SpatialExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: f578add429847efff027a61b1749b9b4 NeedsCompilation: no Title: Visium spatial gene expression data by 10X Genomics Description: Collection of Visium spatial gene expression datasets by 10X Genomics, formatted into objects of class SpatialExperiment. Data cover various organisms and tissues, and include: single- and multi-section experiments, as well as single sections subjected to both whole transcriptome and targeted panel analysis. Datasets may be used for testing of and as examples in packages, for tutorials and workflow demonstrations, or similar purposes. biocViews: ExperimentHub, ExpressionData, ExperimentData, Homo_sapiens_Data, Mus_musculus_Data, ReproducibleResearch Author: Helena L. Crowell [aut, cre] () Maintainer: Helena L. Crowell URL: https://github.com/helenalc/TENxVisiumData VignetteBuilder: knitr BugReports: https://github.com/helenalc/TENxVisiumData/issues git_url: https://git.bioconductor.org/packages/TENxVisiumData git_branch: RELEASE_3_18 git_last_commit: 6b160c1 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TENxVisiumData_1.10.0.tar.gz vignettes: vignettes/TENxVisiumData/inst/doc/vignette.html vignetteTitles: TENxVisiumData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/TENxVisiumData/inst/doc/vignette.R suggestsMe: SPOTlight dependencyCount: 110 Package: timecoursedata Version: 1.12.0 Depends: R (>= 4.0), SummarizedExperiment Suggests: testthat (>= 1.0.0), knitr, rmarkdown, markdown, covr, BiocStyle License: BSD 3-clause License + file LICENSE MD5sum: a5b9f962c12d69003eff9b6949d2b0af NeedsCompilation: no Title: A data package for timecourse RNA-seq and microarray gene expression data sets Description: This data package contains timecourse gene expression data sets. The first dataset, from Shoemaker et al, consists of microarray samples from lung tissue of mice exposed to different influenzy strains from 14 timepoints. The two other datasets are leaf and root samples from sorghum crops exposed to pre- and post-flowering drought stress and a control condition, sampled across the plants lifetime. biocViews: ExpressionData, MicroarrayData, RNASeqData Author: Elizabeth Purdom [aut] (), Nelle Varoquaux [aut, cre] () Maintainer: Nelle Varoquaux VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/timecoursedata git_branch: RELEASE_3_18 git_last_commit: bf6bcb9 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/timecoursedata_1.12.0.tar.gz vignettes: vignettes/timecoursedata/inst/doc/documentation.html vignetteTitles: timecoursedata: Time course gene expression datasets hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/timecoursedata/inst/doc/documentation.R suggestsMe: moanin dependencyCount: 29 Package: TimerQuant Version: 1.32.0 Depends: shiny Imports: ggplot2, grid, gridExtra, deSolve, dplyr, locfit Suggests: BiocStyle, reshape2, knitr, shinyBS License: Artistic-2.0 MD5sum: 7033d0ae9a0731af8bafecbbfa5398c8 NeedsCompilation: no Title: Timer Quantification Description: Supplementary Data package for tandem timer methods paper by Barry et al. (2015) including TimerQuant shiny applications. biocViews: ExperimentData, Danio_rerio_Data, HighThroughputImagingData, Tissue Author: Joseph Barry Maintainer: Joseph Barry VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/TimerQuant git_branch: RELEASE_3_18 git_last_commit: ab5a87f git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TimerQuant_1.32.0.tar.gz vignettes: vignettes/TimerQuant/inst/doc/genPaperFigures.pdf, vignettes/TimerQuant/inst/doc/mathematicalDerivations.pdf vignetteTitles: Supplementary Methods - automatic generation of paper figures, Supplementary Methods - mathematical derivations hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TimerQuant/inst/doc/genPaperFigures.R, vignettes/TimerQuant/inst/doc/mathematicalDerivations.R dependencyCount: 65 Package: tinesath1cdf Version: 1.40.0 License: Artistic-2.0 MD5sum: a58177f0ed4976f52370b35e13818ce3 NeedsCompilation: no Title: tinesath1cdf Description: A package containing an environment represeting the newcdf/tinesATH1.cdf.cdf file. biocViews: Arabidopsis_thaliana_Data, ChipOnChipData Author: Tine Casneuf Maintainer: Tine Casneuf git_url: https://git.bioconductor.org/packages/tinesath1cdf git_branch: RELEASE_3_18 git_last_commit: 79fdbd5 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tinesath1cdf_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: XhybCasneuf dependencyCount: 0 Package: tinesath1probe Version: 1.40.0 Depends: R (>= 1.6), AnnotationDbi (>= 1.11.9) License: LGPL MD5sum: abd9396a4f17a0044018702394b62933 NeedsCompilation: no Title: Probe sequence data for microarrays of type tinesath1 Description: This package was automatically created by package matchprobes version 1.4.0. The probe sequence data was obtained from http://www.affymetrix.com. biocViews: Arabidopsis_thaliana_Data, SequencingData, MicroarrayData Author: The Bioconductor Project www.bioconductor.org Maintainer: Tine Casneuf git_url: https://git.bioconductor.org/packages/tinesath1probe git_branch: RELEASE_3_18 git_last_commit: a6bf288 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tinesath1probe_1.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 46 Package: tissueTreg Version: 1.22.0 Depends: R (>= 3.5) Suggests: BiocStyle, knitr, rmarkdown, testthat, ExperimentHub, bsseq, SummarizedExperiment, ggplot2, reshape2 License: GPL (>= 2) MD5sum: 5d975c08b7a19af832c4468ecb04c58b NeedsCompilation: no Title: TWGBS and RNA-seq data from tissue T regulatory cells from mice Description: The package provides ready to use epigenomes (obtained from TWGBS) and transcriptomes (RNA-seq) from various tissues as obtained in the study (Delacher and Imbusch 2017, PMID: 28783152). Regulatory T cells (Treg cells) perform two distinct functions: they maintain self-tolerance, and they support organ homeostasis by differentiating into specialized tissue Treg cells. The underlying dataset characterises the epigenetic and transcriptomic modifications for specialized tissue Treg cells. biocViews: ExperimentData, Tissue, Mus_musculus_Data, SequencingData, RNASeqData Author: Charles Imbusch [aut, cre], Michael Delacher [aut], Markus Feuerer [aut], Benedikt Brors [aut] Maintainer: Charles Imbusch URL: https://github.com/cimbusch/tissueTreg VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tissueTreg git_branch: RELEASE_3_18 git_last_commit: 6b37bb0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tissueTreg_1.22.0.tar.gz vignettes: vignettes/tissueTreg/inst/doc/tissueTreg.html vignetteTitles: tissueTreg hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tissueTreg/inst/doc/tissueTreg.R suggestsMe: DMRcate dependencyCount: 0 Package: TMExplorer Version: 1.12.0 Depends: R (>= 4.1), SingleCellExperiment, BiocFileCache Imports: methods, Matrix Suggests: BiocStyle, knitr, rmarkdown License: Artistic-2.0 MD5sum: 48b11be99739e61f54d9b442af739d49 NeedsCompilation: no Title: A Collection of Tumour Microenvironment Single-cell RNA Sequencing Datasets and Corresponding Metadata Description: This package provides a tool to search and download a collection of tumour microenvironment single-cell RNA sequencing datasets and their metadata. TMExplorer aims to act as a single point of entry for users looking to study the tumour microenvironment at the single cell level. Users can quickly search available datasets using the metadata table and then download the ones they are interested in for analysis. biocViews: CancerData, SingleCellData, RNASeqData, SequencingData, ExpressionData, GEO, PackageTypeData Author: Erik Christensen [aut, cre], Alaine Naidas [aut], David Chen [aut], Parisa Shooshtari [aut] Maintainer: Erik Christensen VignetteBuilder: knitr BugReports: https://github.com/shooshtarilab/TMExplorer/issues git_url: https://git.bioconductor.org/packages/TMExplorer git_branch: RELEASE_3_18 git_last_commit: 3c5926c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TMExplorer_1.12.0.tar.gz vignettes: vignettes/TMExplorer/inst/doc/TMExplorer.html vignetteTitles: TMExplorer hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TMExplorer/inst/doc/TMExplorer.R dependencyCount: 70 Package: tofsimsData Version: 1.30.0 Depends: R (>= 3.2.0) Suggests: knitr, rmarkdown, tools License: GPL-3 MD5sum: 57fe35de7b03ee4f3ca07540949a6b5e NeedsCompilation: no Title: Import, process and analysis of ToF-SIMS imaging data Description: This packages contains data to be used with the 'tofsims' package. biocViews: ExperimentData, MassSpectrometry, ImagingMassSpectrometry, DataImport Author: Lorenz Gerber, Viet Mai Hoang Maintainer: Lorenz Gerber VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tofsimsData git_branch: RELEASE_3_18 git_last_commit: cb3768d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tofsimsData_1.30.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: topdownrdata Version: 1.24.0 Depends: topdownr License: GPL (>= 3) MD5sum: 28e746b858956bea0967344bfe363e7d NeedsCompilation: no Title: Example Files for the topdownr R Package Description: Example data for the topdownr package generated on a Thermo Orbitrap Fusion Lumos MS device. biocViews: ExperimentData, MassSpectrometryData Author: Sebastian Gibb [aut, cre], Pavel Shliaha [aut], Ole Nørregaard Jensen [aut] Maintainer: Sebastian Gibb URL: https://github.com/sgibb/topdownrdata/ BugReports: https://github.com/sgibb/topdownrdata/issues/ git_url: https://git.bioconductor.org/packages/topdownrdata git_branch: RELEASE_3_18 git_last_commit: b623310 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/topdownrdata_1.24.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: topdownr dependencyCount: 86 Package: tuberculosis Version: 1.8.0 Depends: R (>= 4.1.0), SummarizedExperiment Imports: AnnotationHub, ExperimentHub, S4Vectors, dplyr, magrittr, purrr, rlang, stringr, tibble, tidyr Suggests: BiocStyle, ggplot2, hrbrthemes, knitr, readr, rmarkdown, scater, usethis, utils License: Artistic-2.0 MD5sum: 154cd343b8fba727ecf80a671a6a112d NeedsCompilation: no Title: Tuberculosis Gene Expression Data for Machine Learning Description: The tuberculosis R/Bioconductor package features tuberculosis gene expression data for machine learning. All human samples from GEO that did not come from cell lines, were not taken postmortem, and did not feature recombination have been included. The package has more than 10,000 samples from both microarray and sequencing studies that have been processed from raw data through a hyper-standardized, reproducible pipeline. biocViews: ExperimentHub, ExpressionData, Homo_sapiens_Data, MicroarrayData, SequencingData, ReproducibleResearch Author: Lucas Schiffer [aut, cre] () Maintainer: Lucas Schiffer URL: https://github.com/schifferl/tuberculosis VignetteBuilder: knitr BugReports: https://github.com/schifferl/tuberculosis/issues git_url: https://git.bioconductor.org/packages/tuberculosis git_branch: RELEASE_3_18 git_last_commit: b760699 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tuberculosis_1.8.0.tar.gz vignettes: vignettes/tuberculosis/inst/doc/tuberculosis.html vignetteTitles: tuberculosis hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tuberculosis/inst/doc/tuberculosis.R dependencyCount: 106 Package: TumourMethData Version: 1.0.0 Depends: R (>= 4.2), SummarizedExperiment Imports: ExperimentHub, GenomicRanges, HDF5Array, R.utils, rhdf5 Suggests: ggplot2, knitr, rmarkdown License: Artistic-2.0 MD5sum: 7b4ba6a8a59379a3b7f368e6c26fa0a6 NeedsCompilation: no Title: A Collection of DNA Methylation Datasets for Human Tumour Samples and Matching Normal Samples Description: TumourMethData collects tumour methylation data from a variety of different tumour types (and also matching normal samples where available) and produced with different technologies (e.g. WGBS, RRBS and methylation arrays) and provides them as RangedSummarizedExperiments. This facilitates easy extraction of methylation data for regions of interest across different tumour types and studies. biocViews: ExperimentData, ExperimentHub, MethylSeqData, CancerData, Homo_sapiens_Data, Author: Richard Heery [aut, cre] () Maintainer: Richard Heery URL: https://github.com/richardheery/TumourMethData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/tag/TumourMethData git_url: https://git.bioconductor.org/packages/TumourMethData git_branch: RELEASE_3_18 git_last_commit: 3b8cb73 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/TumourMethData_1.0.0.tar.gz vignettes: vignettes/TumourMethData/inst/doc/getting_tumour_methylation_from_TumourMethData.html vignetteTitles: getting_tumour_methylation_from_TumourMethData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/TumourMethData/inst/doc/getting_tumour_methylation_from_TumourMethData.R dependencyCount: 113 Package: tweeDEseqCountData Version: 1.40.0 Depends: Biobase, R (>= 4.3.0) Suggests: knitr, BiocStyle, rmarkdown License: MIT + file LICENSE MD5sum: d63e819cedf93ffbe115ed518bc9feaf NeedsCompilation: no Title: RNA-seq count data employed in the vignette of the tweeDEseq package Description: RNA-seq count data from Pickrell et al. (2010) employed to illustrate the use of the Poisson-Tweedie family of distributions with the tweeDEseq package. biocViews: Genome, Homo_sapiens_Data, RNASeqData Author: Dolors Pelegri-Siso [aut, cre] (), Juan R. Gonzalez [aut] (), Mikel Esnaola [aut], Robert Castelo [aut] Maintainer: Dolors Pelegri-Siso URL: https://github.com/isglobal-brge/tweeDEseqCountData/ VignetteBuilder: knitr BugReports: https://github.com/isglobal-brge/tweeDEseqCountData/issues git_url: https://git.bioconductor.org/packages/tweeDEseqCountData git_branch: RELEASE_3_18 git_last_commit: 8fcf8be git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tweeDEseqCountData_1.40.0.tar.gz vignettes: vignettes/tweeDEseqCountData/inst/doc/tweeDEseqCountData.html vignetteTitles: RNA-seq count data employed in the vignette of the tweeDEseq package hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tweeDEseqCountData/inst/doc/tweeDEseqCountData.R suggestsMe: GSAR, missMethyl, tweeDEseq, zenith dependencyCount: 6 Package: tximportData Version: 1.30.0 Suggests: knitr, markdown License: GPL (>= 2) MD5sum: 4494d764fc087333e5c04ee7977c85c8 NeedsCompilation: no Title: tximportData Description: This package provides the output of running various transcript abundance quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The quantifiers were Cufflinks, RSEM, kallisto, Salmon and Sailfish. alevin example output is also included. Forr details on version numbers, sample information, and details on calls, see the package vignette. biocViews: ExperimentData, SequencingData, RNASeqData Author: Michael Love Maintainer: Michael Love VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/tximportData git_branch: RELEASE_3_18 git_last_commit: 57f359c git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/tximportData_1.30.0.tar.gz vignettes: vignettes/tximportData/inst/doc/tximportData.html vignetteTitles: Sample output files for tximport hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/tximportData/inst/doc/tximportData.R importsMe: TDbasedUFE suggestsMe: DESeq2, eds, fishpond, HumanTranscriptomeCompendium, tximeta, tximport, variancePartition dependencyCount: 0 Package: VariantToolsData Version: 1.26.0 Depends: R (>= 3.5.0), VariantAnnotation (>= 1.7.35) Imports: BiocGenerics, GenomicRanges Suggests: VariantTools (>= 1.3.4), gmapR (>= 1.3.3), BiocStyle License: Artistic-2.0 MD5sum: a85757ce237b03b0480f01488a78879b NeedsCompilation: no Title: Data for the VariantTools tutorial Description: Data from the sequencing of a 50/50 mixture of HapMap trio samples NA12878 (CEU) and NA19240 (YRI), subset to the TP53 region. biocViews: ExperimentData, SequencingData, HapMap, SNPData Author: Michael Lawrence Maintainer: Michael Lawrence git_url: https://git.bioconductor.org/packages/VariantToolsData git_branch: RELEASE_3_18 git_last_commit: 946f731 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/VariantToolsData_1.26.0.tar.gz vignettes: vignettes/VariantToolsData/inst/doc/intro.pdf vignetteTitles: VariantTools Example Data hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/VariantToolsData/inst/doc/intro.R dependencyCount: 101 Package: VectraPolarisData Version: 1.6.0 Depends: ExperimentHub, SpatialExperiment, utils Suggests: BiocStyle, knitr, rmarkdown, dplyr License: Artistic-2.0 MD5sum: ea2006b85e374e76fbd70ca8b0819072 NeedsCompilation: no Title: Vectra Polaris and Vectra 3 multiplex single-cell imaging data Description: Provides two multiplex imaging datasets collected on Vectra instruments at the University of Colorado Anschutz Medical Campus. Data are provided as a Spatial Experiment objects. Data is provided in tabular form and has been segmented and phenotyped using Inform software. Raw .tiff files are not included. biocViews: ExperimentHub, ExperimentData, SpatialData, SingleCellData, Homo_sapiens_Data, ReproducibleResearch Author: Wrobel Julia [aut, cre] (), Tusharkanti Ghosh [aut] Maintainer: Wrobel Julia URL: https://github.com/julia-wrobel/VectraPolarisData VignetteBuilder: knitr BugReports: https://support.bioconductor.org/t/VectraPolarisData git_url: https://git.bioconductor.org/packages/VectraPolarisData git_branch: RELEASE_3_18 git_last_commit: 9848b9b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/VectraPolarisData_1.6.0.tar.gz vignettes: vignettes/VectraPolarisData/inst/doc/VectraPolarisData.html vignetteTitles: VectraPolarisData hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/VectraPolarisData/inst/doc/VectraPolarisData.R dependencyCount: 110 Package: vulcandata Version: 1.24.0 Imports: utils License: LGPL-3 MD5sum: cd95ea7ac7f2b9edfd46c1ffccb7c3c1 NeedsCompilation: no Title: VirtUaL ChIP-Seq data Analysis using Networks, dummy dataset Description: This package provides a dummy regulatory network and ChIP-Seq dataset for running examples in the vulcan package biocViews: ExperimentData, Homo_sapiens_Data, CancerData, ChIPSeqData Author: Federico M. Giorgi, Andrew N. Holding, Florian Markowetz Maintainer: Federico M. Giorgi git_url: https://git.bioconductor.org/packages/vulcandata git_branch: RELEASE_3_18 git_last_commit: efadc13 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/vulcandata_1.24.0.tar.gz vignettes: vignettes/vulcandata/inst/doc/vulcandata.pdf vignetteTitles: Vulcan: VirtUaL ChIP-Seq Analysis through Networks,, dummy datasets hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/vulcandata/inst/doc/vulcandata.R suggestsMe: vulcan dependencyCount: 1 Package: WeberDivechaLCdata Version: 1.4.1 Depends: ExperimentHub, SpatialExperiment, SingleCellExperiment Imports: utils Suggests: BiocStyle, knitr, rmarkdown License: MIT + file LICENSE MD5sum: 3c79188070e02ddfc3e9b58be6455528 NeedsCompilation: no Title: Spatially-resolved transcriptomics and single-nucleus RNA-sequencing data from the locus coeruleus (LC) in postmortem human brain samples Description: Spatially-resolved transcriptomics (SRT) and single-nucleus RNA-sequencing (snRNA-seq) data from the locus coeruleus (LC) in postmortem human brain samples. Data were generated with the 10x Genomics Visium SRT and 10x Genomics Chromium snRNA-seq platforms. Datasets are stored in SpatialExperiment and SingleCellExperiment formats. biocViews: ExperimentData, ExperimentHub, ReproducibleResearch, ExpressionData, SequencingData, RNASeqData, SingleCellData, SpatialData, Homo_sapiens_Data Author: Lukas M. Weber [aut, cre] (), Heena R. Divecha [aut] () Maintainer: Lukas M. Weber URL: https://github.com/lmweber/WeberDivechaLCdata VignetteBuilder: knitr BugReports: https://github.com/lmweber/WeberDivechaLCdata/issues git_url: https://git.bioconductor.org/packages/WeberDivechaLCdata git_branch: RELEASE_3_18 git_last_commit: 45c40fd git_last_commit_date: 2024-03-17 Date/Publication: 2024-03-19 source.ver: src/contrib/WeberDivechaLCdata_1.4.1.tar.gz vignettes: vignettes/WeberDivechaLCdata/inst/doc/WeberDivechaLCdata.html vignetteTitles: WeberDivechaLCdata package hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: TRUE Rfiles: vignettes/WeberDivechaLCdata/inst/doc/WeberDivechaLCdata.R suggestsMe: nnSVG dependencyCount: 110 Package: WES.1KG.WUGSC Version: 1.34.0 License: GPL-2 MD5sum: a0a3d230e27342090638ec4868756e5a NeedsCompilation: no Title: Whole Exome Sequencing (WES) of chromosome 22 401st to 500th exon from the 1000 Genomes (1KG) Project by the Washington University Genome Sequencing Center (WUGSC). Description: The assembled .bam files of whole exome sequencing data from the 1000 Genomes Project. 46 samples sequenced by the Washington University Genome Sequencing Center are included. biocViews: ExperimentData, Project1000genomes, SequencingData, DNASeqData, Homo_sapiens_Data Author: Yuchao Jiang, Nancy R. Zhang Maintainer: Yuchao Jiang git_url: https://git.bioconductor.org/packages/WES.1KG.WUGSC git_branch: RELEASE_3_18 git_last_commit: 5add20b git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/WES.1KG.WUGSC_1.34.0.tar.gz vignettes: vignettes/WES.1KG.WUGSC/inst/doc/WES.1KG.WUGSC_vignettes.pdf vignetteTitles: Using CODEX hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: CODEX, iCNV dependencyCount: 0 Package: WGSmapp Version: 1.14.0 Depends: R (>= 3.6.0), GenomicRanges License: GPL-2 MD5sum: dfc3f5a82d532551e2d6c21b11c99566 NeedsCompilation: no Title: Mappability tracks of Whole-genome Sequencing from the ENCODE Project Description: This package provides whole-genome mappability tracks on human hg19/hg38 assembly. We employed the 100-mers mappability track from the ENCODE Project and computed weighted average of the mappability scores if multiple ENCODE regions overlap with the same bin. “Blacklist” bins, including segmental duplication regions and gaps in reference assembly from telomere, centromere, and/or heterochromatin regions are included. The dataset consists of three assembled .bam files of single-cell whole genome sequencing from 10X for illustration purposes. biocViews: ExperimentData, SequencingData, DNASeqData, SingleCellData, Homo_sapiens_Data, Genome, ENCODE Author: Rujin Wang Maintainer: Rujin Wang git_url: https://git.bioconductor.org/packages/WGSmapp git_branch: RELEASE_3_18 git_last_commit: ed78a34 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/WGSmapp_1.14.0.tar.gz hasREADME: FALSE hasNEWS: TRUE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: SCOPE dependencyCount: 16 Package: xcoredata Version: 1.6.0 Depends: R (>= 4.2) Imports: ExperimentHub (>= 2.2.0), utils (>= 4.2.0) Suggests: BiocGenerics (>= 0.40.0), data.table (>= 1.14.2), GenomeInfoDb (>= 1.30.0), GenomicRanges (>= 1.46.1), IRanges (>= 2.28.0), knitr (>= 1.37), rmarkdown (>= 2.11), Matrix (>= 1.3.4), stringr (>= 1.4.0), S4Vectors (>= 0.32.3), TxDb.Hsapiens.UCSC.hg38.knownGene (>= 3.14.0), xcore License: GPL-2 MD5sum: 214626bfcbb5d66445324f6e367142c7 NeedsCompilation: no Title: data package for xcore Description: Provides data to use with xcore package. biocViews: ExperimentHub, ExperimentData, Homo_sapiens_Data Author: Maciej Migdał [aut, cre] (), Bogumił Kaczkowski [aut] () Maintainer: Maciej Migdał VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/xcoredata git_branch: RELEASE_3_18 git_last_commit: 2c32bd1 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/xcoredata_1.6.0.tar.gz vignettes: vignettes/xcoredata/inst/doc/xcoredata.html vignetteTitles: xcoredata hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/xcoredata/inst/doc/xcoredata.R suggestsMe: xcore dependencyCount: 95 Package: XhybCasneuf Version: 1.40.0 Depends: R (>= 2.4.0), affy , ath1121501cdf , tinesath1cdf , RColorBrewer , methods, grid License: Artistic-2.0 MD5sum: f3e6306b5c05fb026e36e4c60656e25a NeedsCompilation: no Title: EBI/PSB cross-hybridisation study package Description: Cross-hybridisation study on the ATH1 Affymetrix GeneChip biocViews: ExperimentData, Tissue, MicroarrayData, TissueMicroarrayData Author: Tineke Casneuf Maintainer: Tineke Casneuf git_url: https://git.bioconductor.org/packages/XhybCasneuf git_branch: RELEASE_3_18 git_last_commit: f5dabde git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/XhybCasneuf_1.40.0.tar.gz vignettes: vignettes/XhybCasneuf/inst/doc/Xhyb.pdf vignetteTitles: Xhyb hasREADME: TRUE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/XhybCasneuf/inst/doc/Xhyb.R dependencyCount: 54 Package: yeastCC Version: 1.42.0 Depends: Biobase (>= 2.5.5) License: Artistic-2.0 MD5sum: 847d9bba73cb25f458f608c2cd6bf0e8 NeedsCompilation: no Title: Spellman et al. (1998) and Pramila/Breeden (2006) yeast cell cycle microarray data Description: ExpressionSet for Spellman et al. (1998) yeast cell cycle microarray experiment biocViews: ExperimentData, CellCulture, Saccharomyces_cerevisiae_Data, CancerData, MicroarrayData, OneChannelData, GEO Author: Sandrine Dudoit Maintainer: Sandrine Dudoit git_url: https://git.bioconductor.org/packages/yeastCC git_branch: RELEASE_3_18 git_last_commit: 86d9420 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/yeastCC_1.42.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependsOnMe: LiquidAssociation suggestsMe: fastLiquidAssociation, ibh dependencyCount: 6 Package: yeastExpData Version: 0.48.0 Depends: R (>= 2.4), graph (>= 1.9.26) Suggests: Biobase, GO.db, RBGL, org.Sc.sgd.db License: GPL MD5sum: 7cd63808a957defe831bf3e9d3ef4789 NeedsCompilation: no Title: Yeast Experimental Data Description: A collection of different sets of experimental data from yeast. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data Author: R. Gentleman Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/yeastExpData git_branch: RELEASE_3_18 git_last_commit: 41b3502 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/yeastExpData_0.48.0.tar.gz vignettes: vignettes/yeastExpData/inst/doc/yeastExample.pdf vignetteTitles: Yeast PPI Example hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/yeastExpData/inst/doc/yeastExample.R dependsOnMe: PPInfer suggestsMe: ClusterJudge dependencyCount: 7 Package: yeastGSData Version: 0.40.0 License: Artistic-2.0 MD5sum: bc455a9ecd3eb2652f887026841b3c69 NeedsCompilation: no Title: Yeast Gold Standard Data Description: A collection of so-called gold (and other) standard data sets biocViews: ExperimentData, Saccharomyces_cerevisiae_Data Author: R. Gentleman Maintainer: R. Gentleman git_url: https://git.bioconductor.org/packages/yeastGSData git_branch: RELEASE_3_18 git_last_commit: 748ef20 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/yeastGSData_0.40.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE dependencyCount: 0 Package: yeastNagalakshmi Version: 1.38.0 License: Artistic-2.0 MD5sum: ea5068bf2b4053452f416c56ab32736a NeedsCompilation: no Title: Yeast genome RNA sequencing data based on Nagalakshmi et. al. Description: The yeast genome data was retrieved from the sequence read archive, aligned with bwa, and converted to BAM format with samtools. biocViews: ExperimentData, Genome, Saccharomyces_cerevisiae_Data, SequencingData, BiocViews, ChIPSeqData Author: Martin Morgan Maintainer: Bioconductor Package Maintainer git_url: https://git.bioconductor.org/packages/yeastNagalakshmi git_branch: RELEASE_3_18 git_last_commit: 1687f8e git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/yeastNagalakshmi_1.38.0.tar.gz hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE suggestsMe: ShortRead dependencyCount: 0 Package: yeastRNASeq Version: 0.40.0 Depends: R (>= 2.4) Suggests: Biobase, ShortRead, IRanges License: GPL MD5sum: 2344deacf993b96e1709ad96b710471f NeedsCompilation: no Title: Yeast RNA-Seq Experimental Data from Lee et al. 2008 Description: A selection of RNA-Seq data from a yeast transcriptome experiment. biocViews: ExperimentData, Saccharomyces_cerevisiae_Data, SequencingData, RNASeqData Author: James H. Bullard and Kasper D. Hansen Maintainer: J. Bullard git_url: https://git.bioconductor.org/packages/yeastRNASeq git_branch: RELEASE_3_18 git_last_commit: 57c93a0 git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/yeastRNASeq_0.40.0.tar.gz vignettes: vignettes/yeastRNASeq/inst/doc/yeastRNASeq.pdf vignetteTitles: An overview of yeastRNASeq hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/yeastRNASeq/inst/doc/yeastRNASeq.R suggestsMe: EDASeq dependencyCount: 0 Package: zebrafishRNASeq Version: 1.22.0 Depends: R (>= 2.10) Suggests: BiocStyle, knitr License: GPL MD5sum: c1fcbadec1b25e4b28483c015f7ab35c NeedsCompilation: no Title: Zebrafish RNA-Seq Experimental Data from Ferreira et al. (2014) Description: Gene-level read counts from RNA-Seq for gallein-treated and control zebrafish. biocViews: ExperimentData, Danio_rerio_Data, RNASeqData Author: Davide Risso Maintainer: Davide Risso VignetteBuilder: knitr git_url: https://git.bioconductor.org/packages/zebrafishRNASeq git_branch: RELEASE_3_18 git_last_commit: 15abb4d git_last_commit_date: 2023-10-24 Date/Publication: 2023-10-26 source.ver: src/contrib/zebrafishRNASeq_1.22.0.tar.gz vignettes: vignettes/zebrafishRNASeq/inst/doc/preprocessing.pdf vignetteTitles: Pre-Processing for the Zebrafish RNA-Seq Gene-Level Counts hasREADME: FALSE hasNEWS: FALSE hasINSTALL: FALSE hasLICENSE: FALSE Rfiles: vignettes/zebrafishRNASeq/inst/doc/preprocessing.R suggestsMe: RUVSeq, sva dependencyCount: 0 Package: ChimpHumanBrainData Version: 1.40.0 Depends: affy,qvalue,limma,hexbin,statmod License: MIT Title: Chimp and human brain data package Description: This data package contains chimp and human brain data extracted from the ArrayExpress accession E-AFMX-2. Both human and chimp RNAs were run on human hgu95av2 Affymetrix arrays. It is a useful dataset for tutorials. biocViews: Tissue, Homo_sapiens_Data, Pan_troglodytes_Data, MicroarrayData, TissueMicroarrayData, GEO Author: Roman Jaksik, Naomi Altman, and Sean Davis Maintainer: Sean Davis Package: MIGSAdata Version: 1.26.0 Depends: R (>= 3.4) Suggests: BiocGenerics License: GPL (>= 2) Title: MIGSA vignette data Description: MIGSA vignette data. The MIGSAdata package provides several data objects needed by MIGSA package to correctly generate its vignette, and follow it step by step. biocViews: ExperimentData, RepositoryData, ReproducibleResearch, CancerData, BreastCancerData, MicroarrayData Author: Juan C. Rodriguez, Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez Maintainer: Juan C. Rodriguez URL: http://www.bdmg.com.ar/ PackageStatus: Deprecated Package: pwrEWAS.data Version: 1.16.0 Imports: ExperimentHub Suggests: knitr, RUnit, BiocGenerics License: Artistic-2.0 Title: pwrEWAS.data: Reference data accompanying pwrEWAS Description: This package provides reference data required for pwrEWAS. pwrEWAS is a user-friendly tool to estimate power in EWAS as a function of sample and effect size for two-group comparisons of DNAm (e.g., case vs control, exposed vs non-exposed, etc.). biocViews: ExperimentHub, MethylationArrayData, MicroarrayData, TissueMicroarrayData, Tissue Author: Stefan Graw Maintainer: Stefan Graw VignetteBuilder: knitr PackageStatus: Deprecated Package: RLHub Version: 1.8.0 Imports: AnnotationHub, ExperimentHub, utils Suggests: knitr, DT, rmarkdown, testthat, BiocStyle License: MIT + file LICENSE Title: An ExperimentHub package for accessing processed RLSuite data sets Description: | RLHub provides a convenient interface to the processed data provided within RLSuite, a tool-chain for analyzing R-loop-mapping data sets. The primary purpose of RLHub is to serve the processed data sets required by the RLSeq R package and the RLBase web service. Additionally, RLHub provides a stand-alone R interface to these data, benefiting users who are addressing questions related to R-loop regions (RL-Regions), R-loop-binding proteins (RLBPs), R-loop co-localizing factors, and the differences between R-loop-mapping methods. The full data-generating protocol is found here: https://github.com/Bishop-Laboratory/RLBase-data. biocViews: ExperimentData, ExperimentHub, ExpressionData, ReproducibleResearch, SequencingData, Genome, ChIPSeqData, RNASeqData, GEO, PackageTypeData, DNASeqData, ENCODE Author: Henry Miller [aut, cre, cph] (), Alexander Bishop [ths, cph] () Maintainer: Henry Miller URL: https://github.com/Bishop-Laboratory/RLHub, https://bishop-laboratory.github.io/RLHub/ VignetteBuilder: knitr BugReports: https://github.com/Bishop-Laboratory/RLHub/issues