Package: RNAseq123 Title: RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR Version: 1.37.0 Date: 2024-04-26 Authors@R: c(person(role="aut", "Charity", "Law", email = "law@wehi.edu.au"), person(role="aut", "Monther", "Alhamdoosh", email = "monther.alhamdoosh@csl.com.au"), person(role="aut", "Shian", "Su", email = "su.s@wehi.edu.au"), person(role="aut", "Xueyi", "Dong", email = "dong.x@wehi.edu.au"), person(role="aut", "Luyi", "Tian", email = "tian.l@wehi.edu.au"), person(role="aut", "Gordon", "Smyth", email = "smyth@wehi.edu.au"), person(role=c("aut", "cre"), "Matthew", "Ritchie", email = "mritchie@wehi.edu.au")) Description: R package that supports the F1000Research workflow article on RNA-seq analysis using limma, Glimma and edgeR by Law et al. (2016). Depends: R (>= 3.3.0), Glimma (>= 1.1.9), limma, edgeR, gplots, RColorBrewer, Mus.musculus, R.utils, TeachingDemos, statmod, BiocWorkflowTools License: Artistic-2.0 Encoding: UTF-8 VignetteBuilder: knitr biocViews: Workflow, GeneExpressionWorkflow, ImmunoOncologyWorkflow Suggests: knitr, rmarkdown, BiocStyle NeedsCompilation: no Author: Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon Smyth and Matthew Ritchie Maintainer: Matthew Ritchie URL: https://f1000research.com/articles/5-1408/v3 Config/pak/sysreqs: cmake git make libbz2-dev libgit2-dev libicu-dev liblzma-dev libpng-dev libssh2-1-dev libuv1-dev libxml2-dev libssl-dev libx11-dev xz-utils zlib1g-dev Repository: https://tempbioc.r-universe.dev Date/Publication: 2026-04-28 12:43:08 UTC RemoteUrl: https://github.com/bioc/RNAseq123 RemoteRef: HEAD RemoteSha: 2d60317e82aeb66cdbc00c4b96a5e4a61e61d83c Packaged: 2026-10-15 06:28:02 UTC; root