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) . 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.


Reference manual

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install.packages("autoGO")

1.0.3 by Fabio Ticconi, a year ago


Report a bug at https://github.com/mpallocc/auto-go/issues


Browse source code at https://github.com/cran/autoGO


Authors: Isabella Grassucci [aut] (ORCID: , Eleonora Sperandio [aut] (ORCID: , Fabio Ticconi [cre] , Alice Massacci [aut] , Lorenzo D'Ambrosio [aut] (ORCID: , Matteo Pallocca [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ape, ComplexHeatmap, DESeq2, dichromat, ggplot2, ggrepel, grDevices, GSVA, msigdbr, openxlsx, purrr, RColorBrewer, reshape2, stats, stringr, SummarizedExperiment, textshape, tibble, tidyr, tidyselect, utils

Depends on readr, dplyr, enrichR

Suggests knitr, rlang, rmarkdown


See at CRAN