FIDEA: a server for the functional interpretation of differential expression analysis.
KAUST Grant NumberKUK-I1-012-43
Permanent link to this recordhttp://hdl.handle.net/10754/596785
MetadataShow full item record
AbstractThe results of differential expression analyses provide scientists with hundreds to thousands of differentially expressed genes that need to be interpreted in light of the biology of the specific system under study. This requires mapping the genes to functional classifications that can be, for example, the KEGG pathways or InterPro families they belong to, their GO Molecular Function, Biological Process or Cellular Component. A statistically significant overrepresentation of one or more category terms in the set of differentially expressed genes is an essential step for the interpretation of the biological significance of the results. Ideally, the analysis should be performed by scientists who are well acquainted with the biological problem, as they have a wealth of knowledge about the system and can, more easily than a bioinformatician, discover less obvious and, therefore, more interesting relationships. To allow experimentalists to explore their data in an easy and at the same time exhaustive fashion within a single tool and to test their hypothesis quickly and effortlessly, we developed FIDEA. The FIDEA server is located at http://www.biocomputing.it/fidea; it is free and open to all users, and there is no login requirement.
CitationD’Andrea D, Grassi L, Mazzapioda M, Tramontano A (2013) FIDEA: a server for the functional interpretation of differential expression analysis. Nucleic Acids Research 41: W84–W88. Available: http://dx.doi.org/10.1093/nar/gkt516.
SponsorsEpigenomics Flagship Project-EPIGEN; KAUST [KUK-I1-012-43]; PRIN Project [20108XYHJS]. Funding for open access charge: Epigenomics Flagship Project-EPIGEN.
PublisherOxford University Press (OUP)
JournalNucleic Acids Research
PubMed Central IDPMC3692084
CollectionsPublications Acknowledging KAUST Support
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact firstname.lastname@example.org
- PINTA: a web server for network-based gene prioritization from expression data.
- Authors: Nitsch D, Tranchevent LC, Gonçalves JP, Vogt JK, Madeira SC, Moreau Y
- Issue date: 2011 Jul
- DEEP--a tool for differential expression effector prediction.
- Authors: Degenhardt J, Haubrock M, Dönitz J, Wingender E, Crass T
- Issue date: 2007 Jul
- GeneTools--application for functional annotation and statistical hypothesis testing.
- Authors: Beisvag V, Jünge FK, Bergum H, Jølsum L, Lydersen S, Günther CC, Ramampiaro H, Langaas M, Sandvik AK, Laegreid A
- Issue date: 2006 Oct 24
- GFINDer: Genome Function INtegrated Discoverer through dynamic annotation, statistical analysis, and mining.
- Authors: Masseroli M, Martucci D, Pinciroli F
- Issue date: 2004 Jul 1
- GBA server: EST-based digital gene expression profiling.
- Authors: Wu X, Walker MG, Luo J, Wei L
- Issue date: 2005 Jul 1