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SeqGate

Filtering of Lowly Expressed Features

Bioconductor version: 3.24 · Package version: 1.23.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Filtering of lowly expressed features (e.g. genes) is a common step before performing statistical analysis, but an arbitrary threshold is generally chosen. SeqGate implements a method that rationalize this step by the analysis of the distibution of counts in replicate samples. The gate is the threshold above which sequenced features can be considered as confidently quantified.

DOI: 10.18129/B9.bioc.SeqGate

Installation

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

BiocManager::install("SeqGate")

Details

MaintainerStéphanie Rialle <stephanie.rialle@mgx.cnrs.fr>
AuthorChristelle Reynès [aut], Stéphanie Rialle [aut, cre]
LicenseGPL (>= 2.0)
Bug Reportshttps://github.com/srialle/SeqGate/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneExpression, RNASeq, Sequencing, Software, Transcriptomics
Package Short Url https://bioconductor.org/packages/SeqGate/

Citation

From within R, enter citation("SeqGate"):

Christelle Reynès, Stéphanie Rialle. SeqGate: Filtering of Lowly Expressed Features. doi:10.18129/B9.bioc.SeqGate, R package version 1.23.0, https://bioconductor.org/packages/SeqGate.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSeqGate_1.23.0.tar.gz
Windows binary (x86_64)SeqGate_1.23.0.zip
macOS binary (arm64)SeqGate_1.23.0.tgz
macOS binary (x86_64)SeqGate_1.23.0.tgz
Dependencies

Depends: S4Vectors, SummarizedExperiment, GenomicRanges

Imports: stats, methods, BiocManager

Suggests: testthat (>= 3.0.0), edgeR, BiocStyle, knitr, rmarkdown