ChIPCodis: Mining complex regulatory systems in yeast by concurrent enrichment analysis of chip-on-chip data

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Abstract

Motivation: 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. © The Author 2008. Published by Oxford University Press. All rights reserved.

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Abascal, F., Carmona-Saez, P., Carazo, J. M., & Pascual-Montano, A. (2008). ChIPCodis: Mining complex regulatory systems in yeast by concurrent enrichment analysis of chip-on-chip data. Bioinformatics, 24(9), 1208–1209. https://doi.org/10.1093/bioinformatics/btn094

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