After determining a list of genes involved in a given biological process the next step is to map these genes to known pathways/Gene Ontology terms and determine i.e. which pathways are overrepresented in a given set of genes.
Recent review: Nam, Dougu, and Seon-Young Kim. “Gene-set approach for expression pattern analysis.” Brief Bioinform (17, 2008): bbn001. HTML
- g:Profiler a web-based toolset for functional profiling of gene lists from large-scale experiments. Easy to use web server
- KOBAS server used for i.e. elucidating pathways in addicion
Li, Chuan-Yun, Xizeng Mao, and Liping Wei. “Genes and (Common) Pathways Underlying Drug Addiction.” PLoS Computational Biology 4, no. 1 (1, 2008) HTML
objections (Damian D, Gorfine M. Statistical concerns about the GSEA procedure): http://www.nature.com/ng/journal/v36/n7/full/ng0704-663a.html and reply: http://www.nature.com/ng/journal/v36/n7/full/ng0704-663b.html
Other tools to check
- GEPAT Genome Expression Pathway Analysis Tool. Performs standard microarray analyzes plus "Ensembl database and provides information about gene names, chromosomal location, GO categories and enzymatic activity for each probe on the chip.". Complex installation of java jars/MySQL etc.
- ErmineJ Java stand-alone program "designed to be used by biologists with little or no informatics background" + command line for expert
- PAGE Parametric Analysis of Gene Set Enrichment
- CPath database and software suite for storing, visualizing, and analyzing biological pathways demo page
- EASE (old?) http://www.pubmedcentral.gov/articlerender.fcgi?tool=pubmed&pubmedid=14519205