subSeq

DOI: 10.18129/B9.bioc.subSeq    

Subsampling of high-throughput sequencing count data

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("subSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("subSeq")

 

PDF	R Script	subSeq Example
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription
Version	1.26.0
In Bioconductor since	BioC 3.2 (R-3.2) (7 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
Links To Me
Build Report

Package Archives

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

Source Package	subSeq_1.26.0.tar.gz
Windows Binary	subSeq_1.26.0.zip
macOS Binary (x86_64)	subSeq_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/subSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/subSeq
Package Short Url	https://bioconductor.org/packages/subSeq/
Package Downloads Report	Download Stats