tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

Massive and Integrative Gene Set Analysis MIGSA

Online

Allows to perform a massive and integrative gene set analysis over several expression and gene sets simultaneously. MIGSA 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 mGSZrespectively. 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.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

MIGSA forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

MIGSA versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.

No versioning.

MIGSA classification

MIGSA specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Beta
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
0.99.907
Requirements:
methods, BiocGenerics, AnnotationDbi, Biobase, BiocParallel, data.table, edgeR, futile.logger, ggplot2, GO.db, GOstats, gplots, graph, graphics, grDevices, GSEABase, limma, matrixStats, mGSZ, org.Hs.eg.db, RBGL, Rgraphviz, RJSONIO, stats, vegan
Maintained:
Yes

MIGSA support

Documentation

Maintainer

Credits

Institution(s)

CONICET-Universidad Catolica de Cordoba, Cordoba, Argentina

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.