RNAseqQC: Quality Control for RNA-Seq Data

Functions for semi-automated quality control of bulk RNA-seq data.

Version: 0.1.4
Depends: R (≥ 4.0)
Imports: AnnotationHub, AnnotationFilter, ensembldb, circlize, DESeq2, SummarizedExperiment, vsn, ComplexHeatmap, matrixStats, grid, ggpointdensity, ggrepel, gghighlight, ggplot2, ggsci, cowplot, patchwork, purrr, dplyr, stringr, tidyr, tibble, RColorBrewer, tidyselect, magrittr
Suggests: rmarkdown, knitr, recount3, apeglm
Published: 2022-06-15
Author: Frederik Ziebell ORCID iD [aut, cre], GlaxoSmithKline Research & Development Limited [cph] (GlaxoSmithKline Research & Development Limited; registered address: 980 Great West Road, Brentford, Middlesex TW8 9GS, United Kingdom)
Maintainer: Frederik Ziebell <frederik.x.ziebell at gsk.com>
License: Apache License (≥ 2)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RNAseqQC results

Documentation:

Reference manual: RNAseqQC.pdf
Vignettes: Creating The Example Data Set
RNA-seq Quality Control

Downloads:

Package source: RNAseqQC_0.1.4.tar.gz
Windows binaries: r-devel: RNAseqQC_0.1.4.zip, r-release: RNAseqQC_0.1.4.zip, r-oldrel: RNAseqQC_0.1.4.zip
macOS binaries: r-release (arm64): RNAseqQC_0.1.4.tgz, r-oldrel (arm64): RNAseqQC_0.1.4.tgz, r-release (x86_64): RNAseqQC_0.1.4.tgz
Old sources: RNAseqQC archive

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