Package: OHCA Title: Orchestrating Hi-C analysis with Bioconductor Version: 1.9.2 Date: 2023-04-14 Authors@R: c(person(given = "Jacques", family = "Serizay", role = c("aut", "cre"), email = "jacquesserizay@gmail.com", comment = c(ORCID = "0000-0002-4295-0624"))) Description: The primary aim of this book is to introduce the R user to Hi-C analysis. This book starts with key concepts important for the analysis of chromatin conformation capture and then presents Bioconductor tools that can be leveraged to process, analyze, explore and visualize Hi-C data. License: MIT + file LICENSE URL: https://github.com/js2264/OHCA BugReports: https://github.com/js2264/OHCA/issues Depends: R (>= 4.4), Imports: HiCExperiment, HiContacts, HiContactsData, DNAZooData, fourDNData, plyinteractions, GenomicInteractions, WGCNA, diffHic, strawr, TopDom, GOTHiC, BSgenome.Hsapiens.UCSC.hg38, cowplot, curl, fs, knitr, BiocStyle, sessioninfo Suggests: BiocBook (>= 1.11.2), reticulate, multiHiCcompare, terra, ggbio, patchwork, HiCool biocViews: HiC, DNA3DStructure, FunctionalGenomics Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 BiocType: Book VignetteBuilder: knitr Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev libglpk-dev make libharfbuzz-dev libbz2-dev libicu-dev libjpeg-dev liblzma-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev xz-utils zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-10-06 09:42:10 UTC RemoteUrl: https://github.com/bioc/OHCA RemoteRef: HEAD RemoteSha: 8ef6242d336e8c8875f4afb2164b47c4d0fbcea4 NeedsCompilation: no Packaged: 2026-10-10 11:21:28 UTC; root Author: Jacques Serizay [aut, cre] (ORCID: ) Maintainer: Jacques Serizay