Title | GEPAS, a web-based tool for microarray data analysis and interpretation. |
Publication Type | Journal Article |
Year of Publication | 2008 |
Authors | Tárraga, J, Medina, I, Carbonell, J, Huerta-Cepas, J, Minguez, P, Alloza, E, Al-Shahrour, F, Vegas-Azcárate, S, Goetz, S, Escobar, P, Garcia-Garcia, F, Conesa, A, Montaner, D, Dopazo, J |
Journal | Nucleic Acids Res |
Volume | 36 |
Issue | Web Server issue |
Pagination | W308-14 |
Date Published | 2008 Jul 01 |
ISSN | 1362-4962 |
Keywords | Computer Graphics; Dose-Response Relationship, Drug; Gene Expression Profiling; Internet; Kinetics; Oligonucleotide Array Sequence Analysis; Software |
Abstract | Gene Expression Profile Analysis Suite (GEPAS) is one of the most complete and extensively used web-based packages for microarray data analysis. During its more than 5 years of activity it has continuously been updated to keep pace with the state-of-the-art in the changing microarray data analysis arena. GEPAS offers diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and functional profiling of the experiment. New options for time-course (or dose-response) experiments, microarray-based class prediction, new clustering methods and new tests for differential expression have been included. The new pipeliner module allows automating the execution of sequential analysis steps by means of a simple but powerful graphic interface. An extensive re-engineering of GEPAS has been carried out which includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. GEPAS is nowadays the most quoted web tool in its field and it is extensively used by researchers of many countries and its records indicate an average usage rate of 500 experiments per day. GEPAS, is available at http://www.gepas.org. |
DOI | 10.1093/nar/gkn303 |
Alternate Journal | Nucleic Acids Res |
PubMed ID | 18508806 |
PubMed Central ID | PMC2447723 |