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This is the development version of SeqGate; for the stable release version, see SeqGate.
Bioconductor version: Development (3.17)
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.
Author: Christelle Reynès [aut], Stéphanie Rialle [aut, cre]
Maintainer: Stéphanie Rialle <stephanie.rialle at mgx.cnrs.fr>
Citation (from within R,
enter citation("SeqGate")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("SeqGate")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, RNASeq, Sequencing, Software, Transcriptomics |
Version | 1.9.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (2 years) |
License | GPL (>= 2.0) |
Depends | S4Vectors, SummarizedExperiment, GenomicRanges |
Imports | stats, methods, BiocManager |
LinkingTo | |
Suggests | testthat (>= 3.0.0), edgeR, BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/srialle/SeqGate/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/SeqGate |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SeqGate |
Package Short Url | https://bioconductor.org/packages/SeqGate/ |
Package Downloads Report | Download Stats |
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