Package: ChIPComp 1.37.0
Li Chen
ChIPComp: Quantitative comparison of multiple ChIP-seq datasets
ChIPComp detects differentially bound sharp binding sites across multiple conditions considering matching control.
Authors:
ChIPComp_1.37.0.tar.gz
ChIPComp_1.37.0.zip(r-4.5)ChIPComp_1.37.0.zip(r-4.4)ChIPComp_1.37.0.zip(r-4.3)
ChIPComp_1.37.0.tgz(r-4.4-x86_64)ChIPComp_1.37.0.tgz(r-4.4-arm64)ChIPComp_1.37.0.tgz(r-4.3-arm64)ChIPComp_1.35.0.tgz(r-4.3-x86_64)
ChIPComp_1.37.0.tar.gz(r-4.5-noble)ChIPComp_1.37.0.tar.gz(r-4.4-noble)
ChIPComp_1.37.0.tgz(r-4.4-emscripten)ChIPComp_1.37.0.tgz(r-4.3-emscripten)
ChIPComp.pdf |ChIPComp.html✨
ChIPComp/json (API)
NEWS
# Install 'ChIPComp' in R: |
install.packages('ChIPComp', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- seqData - A 'ChIPComp' object.
On BioConductor:ChIPComp-1.35.0(bioc 3.20)ChIPComp-1.34.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
chipseqsequencingtranscriptiongeneticscoveragemultiplecomparisondataimport
Last updated 23 days agofrom:3fbdb068ee. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | NOTE | Oct 30 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 30 2024 |
R-4.4-win-x86_64 | NOTE | Oct 30 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 30 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 30 2024 |
R-4.3-win-x86_64 | NOTE | Oct 30 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 30 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 22 2024 |
Exports:ChIPCompmakeConfmakeCountSet
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomeBSgenome.Hsapiens.UCSC.hg19BSgenome.Mmusculus.UCSC.mm9codetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangeshttrIRangesjsonlitelambda.rlatticelimmaMatrixMatrixGenericsmatrixStatsmimeopensslR6RCurlrestfulrRhtslibrjsonRsamtoolsrtracklayerS4ArraysS4VectorssnowSparseArraystatmodSummarizedExperimentsysUCSC.utilsXMLXVectoryamlzlibbioc