Package: DEWSeq 1.19.0

bioinformatics team Hentze

DEWSeq: Differential Expressed Windows Based on Negative Binomial Distribution

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

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

DEWSeq_1.19.0.tar.gz
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DEWSeq.pdf |DEWSeq.html✨
DEWSeq/json (API)
NEWS

# Install 'DEWSeq' in R:
install.packages('DEWSeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/embl-hentze-group/dewseq/issues

Datasets:

On BioConductor:DEWSeq-1.19.0(bioc 3.20)DEWSeq-1.18.0(bioc 3.19)

bioconductor-package

6 exports 1.00 score 70 dependencies

Last updated 2 months agofrom:8bcd67805b

Exports:DESeqDataSetFromSlidingWindowsextractRegionsfilterCountsresultsDEWSeqtoBEDtopWindowStats

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurldata.tableDelayedArrayDESeq2fansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsscalessnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

Analyzing eCLIP and iCLIP data with DEWSeq

Sudeep Sahadevan, Thomas Schwarzl

Rendered fromDEWSeq.Rmdusingknitr::rmarkdownon Jun 27 2024.

Last update: 2023-10-17
Started: 2019-09-04