A Computational Pipeline for Bulk 'ATAC-Seq' Profiles R package cinaR version 0.2.6 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>. Software Depends: R (>= 4.0.0) Imports: BiocManager, DESeq2, dplyr, edgeR, fgsea, GenomicRanges, ggplot2, ggrepel, grDevices, limma, methods, utils, pheatmap, preprocessCore, RColorBrewer, sva, writexl Suggests: ChIPseeker, knitr, Matrix, Seurat, rmarkdown, markdown, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene Onur Karakaslar <eonurkara@gmail.com> Comprehensive R Archive Network (CRAN) Onur Karakaslar [aut, cre] (ORCID: <https://orcid.org/0000-0002-9182-910X>), Duygu Ucar [aut] (ORCID: <https://orcid.org/0000-0002-9772-3066>) GPL-3 2026-02-04 application/tgz https://CRAN.R-project.org/package=cinaR doi:10.32614/CRAN.package.cinaR