To install this package, start R and enter:

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

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

exomeCopy

   

This package is for version 2.9 of Bioconductor; for the stable, up-to-date release version, see exomeCopy.

Detection of CNV in exome/targeted sequencing data

Bioconductor version: 2.9

A hidden Markov model for the detection of copy number variants (CNV) in exome/targeted sequencing read depth data. The package uses positional covariates, such as background read depth and GC-content, to simultaneously normalize and segment the samples into regions of constant copy count.

Author: Michael Love

Maintainer: Michael Love <love at molgen.mpg.de>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("exomeCopy")

 

PDF exomeCopy.pdf
PDF   Reference Manual

Details

biocViews CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software
Version 1.0.3
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License GPL (>= 2)
Depends methods, graphics, IRanges, GenomicRanges, Rsamtools(>= 1.4.3)
Imports
LinkingTo
Suggests Biostrings
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source exomeCopy_1.0.3.tar.gz
Windows Binary exomeCopy_1.0.3.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/exomeCopy/tree/release-2.9
Package Short Url http://bioconductor.org/packages/exomeCopy/
Package Downloads Report Download Stats

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