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dc.contributor.authorAbascal, Federico-
dc.contributor.authorCarmona-Sáez, Pedro-
dc.contributor.authorCarazo, José M.-
dc.contributor.authorPascual-Montano, Alberto-
dc.identifier.citationBioinformatics; 24(9):1208-1209 (2008)en_US
dc.description2 pages. -- Printed version published on May 2008. -- PMID: 18339638 [PubMed].en_US
dc.description.abstractMotivation: Eukaryotic genes are often regulated by multiple transcription factors (TFs). Depending on the interactions among different TFs the expression of a gene can be tuned to respond to diverse environmental conditions. Chip-on-chip experiments provide a snapshot of which TF are in vivo bound to which genes in a particular condition, and have been applied to characterize the regulatory code of yeast under several experimental settings. ChIPCodis mines this data to provide new insights about how the expression of a particular group of genes is regulated. For a given list of yeast genes ChIPCodis determines which combinations of TFs are significantly over-represented in a series of environmental conditions.en_US
dc.description.sponsorshipThis work has been partially funded by the Spanish grants BIO2007-67150-C03-02, S-Gen-0166/2006, TIN2005-5619, PR27/05-13964-BSCH, CSD2006-00023 and CNIT-OCNOSIS. FA is a recipient of an I3P contract of the Spanish MEC. APM acknowledges the support of the Ramón y Cajal program.en_US
dc.format.extent77420 bytes-
dc.publisherOxford University Pressen_US
dc.titleChIPCodis: Mining complex regulatory systems in yeast by concurrent enrichment analysis of Chip-on-chip dataen_US
dc.description.peerreviewedPeer revieweden_US
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