subSeq

This is the development version of subSeq; for the stable release version, see subSeq.

Subsampling of high-throughput sequencing count data


Bioconductor version: Development (3.21)

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")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription
Version 1.37.0
In Bioconductor since BioC 3.2 (R-3.2) (9 years)
License MIT + file LICENSE
Depends R (>= 3.2)
Imports data.table, dplyr, tidyr, ggplot2, magrittr, qvalue(>= 1.99), digest, Biobase
System Requirements
URL http://github.com/StoreyLab/subSeq
See More
Suggests limma, edgeR, DESeq2, DEXSeq(>= 1.9.7), testthat, knitr
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Package Archives

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

Source Package subSeq_1.37.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/subSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/subSeq
Bioc Package Browser https://code.bioconductor.org/browse/subSeq/
Package Short Url https://bioconductor.org/packages/subSeq/
Package Downloads Report Download Stats