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Differential Expressed Windows Based on Negative Binomial Distribution

Bioconductor version: Release (3.19)

DEWSeq is a sliding window approach for the analysis of differentially enriched binding regions eCLIP or iCLIP next generation sequencing data.

Author: Sudeep Sahadevan [aut], Thomas Schwarzl [aut], bioinformatics team Hentze [aut, cre]

Maintainer: bioinformatics team Hentze <biohentze at>

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


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:

Analyzing eCLIP/iCLIP data with DEWSeq HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, FunctionalGenomics, GeneRegulation, Sequencing, Software
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License LGPL (>= 3)
Depends R (>= 4.0.0), R.utils, DESeq2, BiocParallel
Imports BiocGenerics, data.table (>= 1.11.8), GenomeInfoDb, GenomicRanges, methods, S4Vectors, SummarizedExperiment, stats, utils
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Suggests knitr, tidyverse, rmarkdown, testthat, BiocStyle, IHW
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Follow Installation instructions to use this package in your R session.

Source Package DEWSeq_1.18.0.tar.gz
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macOS Binary (x86_64) DEWSeq_1.18.0.tgz
macOS Binary (arm64) DEWSeq_1.18.0.tgz
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