Package: gcapc 1.37.0

Mingxiang Teng

gcapc: GC Aware Peak Caller

Peak calling for ChIP-seq data with consideration of potential GC bias in sequencing reads. GC bias is first estimated with generalized linear mixture models using effective GC strategy, then applied into peak significance estimation.

Authors:Mingxiang Teng and Rafael A. Irizarry

gcapc_1.37.0.tar.gz
gcapc_1.37.0.zip(r-4.7)gcapc_1.37.0.zip(r-4.6)gcapc_1.37.0.zip(r-4.5)
gcapc_1.37.0.tgz(r-4.6-any)gcapc_1.37.0.tgz(r-4.5-any)
gcapc_1.37.0.tar.gz(r-4.7-any)gcapc_1.37.0.tar.gz(r-4.6-any)
gcapc_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gcapc/json (API)
NEWS

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

Bug tracker:https://github.com/tengmx/gcapc/issues

On BioConductor:gcapc-1.37.0(bioc 3.24)gcapc-1.36.0(bioc 3.23)

sequencingchipseqbatcheffectpeakdetection

5.54 score 10 stars 23 scripts 450 downloads 7 exports 51 dependencies

Last updated from:16b89e7389. Checks:2 ERROR, 8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR270
linux-devel-x86_64OK557
source / vignettesOK477
linux-release-x86_64OK538
macos-release-arm64OK577
macos-oldrel-arm64OK266
windows-develOK483
windows-releaseOK459
windows-oldrelERROR433
wasm-releaseOK230

Exports:bindWidthgcapcPeaksgcEffectspeaksCATread5endCoveragerefinePeaksrefineSites

Dependencies:abindaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomecigarillocodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangeshttrIRangesjsonlitelambda.rlatticeMASSMatrixMatrixGenericsmatrixStatsmimeopensslR6RCurlrestfulrRhtslibrjsonRsamtoolsrtracklayerS4ArraysS4VectorsSeqinfosnowSparseArraySummarizedExperimentsysXMLXVectoryaml

The gcapc user's guide

Rendered fromgcapc.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2017-06-08
Started: 2016-10-19