autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations

Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analysis visualizations. It also features a handy wrapper for Differential Expression analysis around the 'DESeq2' package described in Love et al. (2014) <doi:10.1186/s13059-014-0550-8>. The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis to perform and which plot to produce.

Version: 0.9.1
Depends: R (≥ 3.5.0), readr (≥ 2.1.2), dplyr (≥ 1.1.0), enrichR
Imports: ape, ComplexHeatmap, DESeq2, dichromat, ggplot2, ggrepel, grDevices, GSVA, imguR, openxlsx, purrr, RColorBrewer, reshape2, stats, stringr, SummarizedExperiment, textshape, tidyr, tidyselect, utils
Suggests: knitr, rlang, rmarkdown
Published: 2023-02-13
Author: Isabella Grassucci ORCID iD [aut], Eleonora Sperandio ORCID iD [aut], Fabio Ticconi ORCID iD [cre], Alice Massacci ORCID iD [aut], Lorenzo D'Ambrosio ORCID iD [aut], Matteo Pallocca ORCID iD [aut]
Maintainer: Fabio Ticconi <fabio.ticconi at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: autoGO results


Reference manual: autoGO.pdf
Vignettes: AutoGO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations


Package source: autoGO_0.9.1.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): autoGO_0.9.1.tgz, r-release (arm64): not available, r-oldrel (arm64): autoGO_0.9.1.tgz, r-prerel (x86_64): autoGO_0.9.1.tgz, r-release (x86_64): not available
Old sources: autoGO archive


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