To install this package, start R and enter:

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

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

subSeq

Subsampling of high-throughput sequencing count data

Bioconductor version: Release (3.4)

Subsampling of high throughput sequencing count data for use in experiment design and analysis.

Author: David Robinson, John D. Storey, with contributions from Andrew J. Bass

Maintainer: Andrew J. Bass <ajbass at princeton.edu>, John D. Storey <jstorey at princeton.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("subSeq")

biocViews	DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software, Transcription
Version	1.4.0
In Bioconductor since	BioC 3.2 (R-3.2) (1.5 years)
License	MIT + file LICENSE
Depends	R (>= 3.2)
Imports	data.table, dplyr, tidyr, ggplot2, magrittr, qvalue(>= 1.99), digest, Biobase
LinkingTo
Suggests	limma, edgeR, DESeq2, DEXSeq(>= 1.9.7), testthat, knitr
SystemRequirements
Enhances
URL	http://github.com/StoreyLab/subSeq
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	subSeq_1.4.0.tar.gz
Windows Binary	subSeq_1.4.0.zip
Mac OS X 10.9 (Mavericks)	subSeq_1.4.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/subSeq/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/subSeq/
Package Downloads Report	Download Stats

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