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:
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
Last updated from:d4922777d9 (on RELEASE_3_23). Checks:1 NOTE, 7 WARNING, 1 ERROR, 1 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 309 | ||
| linux-devel-x86_64 | WARNING | 646 | ||
| source / vignettes | ERROR | 732 | ||
| linux-release-x86_64 | WARNING | 657 | ||
| macos-release-arm64 | WARNING | 437 | ||
| macos-oldrel-arm64 | WARNING | 574 | ||
| windows-devel | WARNING | 619 | ||
| windows-release | WARNING | 494 | ||
| windows-oldrel | WARNING | 512 | ||
| wasm-release | OK | 274 |
Exports:getDynamicsgetEnhancersgetSEgetTargetsnormalizeplotSummarysaveFiles
Dependencies:abindAnnotationDbiaskpassbamsignalsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemcigarilloclicodetoolscpp11crayoncurlDBIDelayedArraydplyrfarverfastmapformatRfsfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegtablehttrIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplyrpngpreprocessCoreR6randomForestRColorBrewerRcppRCurlreshape2restfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystringistringrSummarizedExperimentsystibbletidyselectTxDb.Hsapiens.UCSC.hg19.knownGeneTxDb.Hsapiens.UCSC.hg38.knownGeneTxDb.Mmusculus.UCSC.mm10.knownGeneTxDb.Mmusculus.UCSC.mm9.knownGeneutf8vctrsviridisLitewithrXMLXVectoryaml