Package: crupR 1.4.0

Persia Akbari Omgba

crupR: An R package to predict condition-specific enhancers from ChIP-seq data

An R package that offers a workflow to predict condition-specific enhancers from ChIP-seq data. The prediction of regulatory units is done in four main steps: Step 1 - the normalization of the ChIP-seq counts. Step 2 - the prediction of active enhancers binwise on the whole genome. Step 3 - the condition-specific clustering of the putative active enhancers. Step 4 - the detection of possible target genes of the condition-specific clusters using RNA-seq counts.

Authors:Persia Akbari Omgba [cre], Verena Laupert [aut], Martin Vingron [aut]

crupR_1.4.0.tar.gz
crupR_1.4.0.zip(r-4.7)crupR_1.4.0.zip(r-4.6)crupR_1.4.0.zip(r-4.5)
crupR_1.4.0.tgz(r-4.6-any)crupR_1.4.0.tgz(r-4.5-any)
crupR_1.4.0.tar.gz(r-4.7-any)crupR_1.4.0.tar.gz(r-4.6-any)
crupR_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
crupR/json (API)
NEWS

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

Bug tracker:https://github.com/akbariomgba/crupr/issues

On BioConductor:crupR-1.5.0(bioc 3.24)crupR-1.4.0(bioc 3.23)

differentialpeakcallinggenetargetfunctionalpredictionhistonemodificationpeakdetection

3.18 score 3 scripts 242 downloads 7 exports 95 dependencies

Last updated from:d4922777d9 (on RELEASE_3_23). Checks:1 NOTE, 7 WARNING, 1 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE309
linux-devel-x86_64WARNING646
source / vignettesERROR732
linux-release-x86_64WARNING657
macos-release-arm64WARNING437
macos-oldrel-arm64WARNING574
windows-develWARNING619
windows-releaseWARNING494
windows-oldrelWARNING512
wasm-releaseOK274

Exports:getDynamicsgetEnhancersgetSEgetTargetsnormalizeplotSummarysaveFiles

Dependencies:abindAnnotationDbiaskpassbamsignalsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemcigarilloclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfarverfastmapformatRfsfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegtablehttrIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplyrpngpreprocessCoreR6randomForestRColorBrewerRcppRCurlreshape2restfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystringistringrSummarizedExperimentsystibbletidyselectTxDb.Hsapiens.UCSC.hg19.knownGeneTxDb.Hsapiens.UCSC.hg38.knownGeneTxDb.Mmusculus.UCSC.mm10.knownGeneTxDb.Mmusculus.UCSC.mm9.knownGeneutf8vctrsviridisLitewithrXMLXVectoryaml