To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("seqCNA")

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

seqCNA

Copy number analysis of high-throughput sequencing cancer data

Bioconductor version: 3.1

Copy number analysis of high-throughput sequencing cancer data with fast summarization, extensive filtering and improved normalization

Author: David Mosen-Ansorena

Maintainer: David Mosen-Ansorena <dmosen.gn at cicbiogune.es>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("seqCNA")

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

browseVignettes("seqCNA")

PDF	R Script	seqCNA
PDF		Reference Manual

biocViews	CopyNumberVariation, Genetics, Sequencing, Software
Version	1.14.0
In Bioconductor since	BioC 2.13 (R-3.0) (2 years)
License	GPL-3
Depends	R (>= 3.0), GLAD(>= 2.14), doSNOW (>= 1.0.5), adehabitatLT (>= 0.3.4), seqCNA.annot(>= 0.99), methods
Imports
LinkingTo
Suggests
SystemRequirements	samtools
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	seqCNA_1.14.0.tar.gz
Windows Binary	seqCNA_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	seqCNA_1.14.0.tgz
Mac OS X 10.9 (Mavericks)	seqCNA_1.14.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/seqCNA/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/seqCNA/
Package Downloads Report	Download Stats

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