recipe bioconductor-migsa

Massive and Integrative Gene Set Analysis. The MIGSA package allows to perform a massive and integrative gene set analysis over several expression and gene sets simultaneously. It provides a common gene expression analytic framework that grants a comprehensive and coherent analysis. Only a minimal user parameter setting is required to perform both singular and gene set enrichment analyses in an integrative manner by means of the best available methods, i.e. dEnricher and mGSZ respectively. The greatest strengths of this big omics data tool are the availability of several functions to explore, analyze and visualize its results in order to facilitate the data mining task over huge information sources. MIGSA package also provides several functions that allow to easily load the most updated gene sets from several repositories.



GPL (>= 2)



package bioconductor-migsa

(downloads) docker_bioconductor-migsa



Depends bioconductor-annotationdbi


Depends bioconductor-biobase


Depends bioconductor-biocgenerics


Depends bioconductor-biocparallel


Depends bioconductor-edger


Depends bioconductor-go.db


Depends bioconductor-gostats


Depends bioconductor-graph


Depends bioconductor-gseabase


Depends bioconductor-limma




Depends bioconductor-rbgl


Depends bioconductor-rgraphviz


Depends r-base


Depends r-data.table

Depends r-futile.logger

Depends r-ggdendro

Depends r-ggplot2

Depends r-ismev

Depends r-matrixstats

Depends r-reshape2

Depends r-rjsonio

Depends r-vegan



With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-migsa

and update with:

conda update bioconductor-migsa

or use the docker container:

docker pull<tag>

(see bioconductor-migsa/tags for valid values for <tag>)