To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TSSi")

In most cases, you don't need to download the package archive at all.

TSSi

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see TSSi.

Transcription Start Site Identification

Bioconductor version: 2.10

Identify and normalize transcription start sites in high-throughput sequencing data.

Author: Clemens Kreutz, Julian Gehring

Maintainer: Julian Gehring <julian.gehring at embl.de>

Citation (from within R, enter citation("TSSi")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TSSi")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TSSi")

PDF		Introduction to the TSSi package: Identification of Transcription Start Sites
PDF		Reference Manual
Text		LICENSE

biocViews	Genetics, HighThroughputSequencing, Preprocessing, RNAseq, Sequencing, Software
Version	1.2.0
In Bioconductor since	BioC 2.9 (R-2.14) (4.5 years)
License	GPL-3
Depends	R (>= 2.13.2)
Imports	methods, Hmisc, minqa, stats, Biobase, plyr, IRanges
LinkingTo
Suggests	rtracklayer
SystemRequirements
Enhances	multicore
URL	http://julian-gehring.github.com/TSSi/
Depends On Me
Imports Me
Suggests Me
Build Report

Follow Installation instructions to use this package in your R session.

Package Source	TSSi_1.2.0.tar.gz
Windows Binary	TSSi_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/TSSi/tree/release-2.10
Package Short Url	http://bioconductor.org/packages/TSSi/
Package Downloads Report	Download Stats

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