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.">

autoGO: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations (original) (raw)

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
DOI: 10.32614/CRAN.package.autoGO
Author: Isabella GrassucciORCID iD [aut], Eleonora SperandioORCID iD [aut], Fabio Ticconi ORCID iD [cre], Alice Massacci ORCID iD [aut], Lorenzo D'AmbrosioORCID iD [aut], Matteo Pallocca ORCID iD [aut]
Maintainer: Fabio Ticconi <fabio.ticconi at gmail.com>
BugReports: https://github.com/mpallocc/auto-go/issues
License: MIT + file
NeedsCompilation: no
CRAN checks: autoGO results

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