Bioc2026 Registration Open!

SeqGate

Filtering of Lowly Expressed Features

Bioconductor version: 3.23 · Package version: 1.22.0

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.

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
Downloads rank375
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, RNASeq, Sequencing, Software, Transcriptomics

Documentation

Download

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

Source packageSeqGate_1.22.0.tar.gz
Windows binary (x86_64)SeqGate_1.22.0.zip
macOS binary (arm64)SeqGate_1.22.0.tgz
macOS binary (x86_64)SeqGate_1.22.0.tgz
Dependencies

Depends: S4Vectors, SummarizedExperiment, GenomicRanges

Imports: stats, methods, BiocManager

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