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cinaR: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles

Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data analyses. This package combines different packages to have an ultimate package for both data analyses and visualization of 'ATAC-seq' data. Methods are described in 'Karakaslar et al.' (2021) <doi:10.1101/2021.03.05.434143>.

Version:0.2.3
Depends:R (≥ 4.0.0)
Imports:ChIPseeker,DESeq2,dplyr,edgeR,fgsea,GenomicRanges,TxDb.Hsapiens.UCSC.hg38.knownGene,TxDb.Hsapiens.UCSC.hg19.knownGene,TxDb.Mmusculus.UCSC.mm10.knownGene,ggplot2,ggrepel, grDevices,limma, utils,pheatmap,preprocessCore,RColorBrewer,sva,writexl
Suggests:knitr,rmarkdown,markdown
Published:2022-05-18
DOI:10.32614/CRAN.package.cinaR
Author:Onur Karakaslar [aut, cre], Duygu UcarORCID iD [aut]
Maintainer:Onur Karakaslar <eonurkara at gmail.com>
BugReports:https://github.com/eonurk/cinaR/issues/
License:GPL-3
URL:https://github.com/eonurk/cinaR/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:cinaR results

Documentation:

Reference manual:cinaR.html ,cinaR.pdf
Vignettes:cinaR (source,R code)

Downloads:

Package source: cinaR_0.2.3.tar.gz
Windows binaries: r-devel:cinaR_0.2.3.zip, r-release:cinaR_0.2.3.zip, r-oldrel:cinaR_0.2.3.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: cinaR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cinaRto link to this page.


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