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Filter replicated high-throughput transcriptome sequencing data

Bioconductor version: Release (3.19)

This package implements a filtering procedure for replicated transcriptome sequencing data based on a global Jaccard similarity index in order to identify genes with low, constant levels of expression across one or more experimental conditions.

Author: Andrea Rau [cre, aut] , Melina Gallopin [ctb], Gilles Celeux [ctb], Florence Jaffr├ęzic [ctb]

Maintainer: Andrea Rau <andrea.rau at>

Citation (from within R, enter citation("HTSFilter")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

HTSFilter HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, Preprocessing, RNASeq, Sequencing, Software
Version 1.44.0
In Bioconductor since BioC 2.12 (R-3.0) (11 years)
License Artistic-2.0
Depends R (>= 4.0.0)
Imports edgeR, DESeq2, BiocParallel, Biobase, utils, stats, grDevices, graphics, methods
System Requirements
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Suggests EDASeq, testthat, knitr, rmarkdown, BiocStyle
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Depends On Me
Imports Me coseq
Suggests Me HTSCluster
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package HTSFilter_1.44.0.tar.gz
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macOS Binary (x86_64) HTSFilter_1.44.0.tgz
macOS Binary (arm64) HTSFilter_1.44.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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