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. 2014 Oct 23;13(Suppl 5):61–67. doi: 10.4137/CIN.S14066

Table 1.

Examples of software available for gene set analysis, divided into three major families of algorithms: over-representation, enrichment, and differential variability analyses.

ANALYSIS FAMILY METHODS AVAILABILITY REFERENCE
Over-representation GeneMAPP http://www.genmapp.org/ 19,20
GoMiner http://discover.nci.nih.gov/gominer/ 21
GatiGo http://bioinfo.cipf.es/babelomicswiki/tool:fatigo 22
Gostat http://gostat.wehi.edu.au/ 23
FunAssociate http://llama.mshri.on.ca/funcassociate/ 24
GOToolBox http://genome.crg.es/GOToolBox/ 25
GeneMergeGOEAST http://www.oeb.harvard.edu/faculty/hartl/old_site/lab/publications/Genemerge.html 26
ClueGo http://omicslab.genetics.ac.cn/GOEAST/ 27
FunSpec http://www.ici.upmc.fr/cluego/ 28
Go:TermFinder http://funspec.med.utoronto.ca/ 29
WebGestalt http://go.princeton.edu/cgi-bin/GoTermFinder 30
agriGo http://bioinfo.vanderbilt.edu/webgestalt/ 31
http://bioinfo.cau.edu.cn/agriGo/ 32

Enrichment GSEA http://www.broadinstitute.org/gsea 16
SAFE Bioconductor (safe) 33
LIMMA Bioconductor (LIMMA) 34
DAVID http://david.abcc.ncifcrf.gov/list.jsp 35
TopGO Bioconductor (topGo) 36
Gage Bioconductor (gage) 37
sigPathway Bioconductor (sigPathway) 38

Differential variability DIRAC Bioconductor (GS-Reg) 10
EVA Bioconductor (GS-Reg) 39
GINEA No implementation 40
IB-GSA No implementation 18
MAVTgsa CRAN 41
synergy http://www.biomedcentral.com/content/supplementary/1752-0509-2-10-s3.pdf 42