Nature Biotechnology
21, 1337 - 1342 (2003)
Published online: 12 October 2003; | doi:10.1038/nbt890
Computational discovery of gene modules and regulatory networksZiv Bar-Joseph1, 4, Georg K Gerber1, 4, Tong Ihn Lee2, 4, Nicola J Rinaldi2, 3, Jane Y Yoo2, François Robert2, D Benjamin Gordon2, Ernest Fraenkel2, Tommi S Jaakkola1, Richard A Young2, 3
& David K Gifford11
MIT Computer Science and Artificial Intelligence Laboratory, 200 Technology Square, Cambridge, Massachusetts 02139, USA. 2
Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA. 3
MIT Department of Biology, 31 Ames Street, Room 68-132, Cambridge, Massachusetts 02139, USA. 4
These authors contributed equally to this work.
Correspondence should be addressed to David K Gifford gifford@mit.eduWe describe an algorithm for discovering regulatory networks of gene modules, GRAM (Genetic Regulatory Modules), that combines information from genome-wide location and expression data sets. A gene module is defined as a set of coexpressed genes to which the same set of transcription factors binds. Unlike previous approaches1,
2,
3,
4,
5 that relied primarily on functional information from expression data, the GRAM algorithm explicitly links genes to the factors that regulate them by incorporating DNA binding data, which provide direct physical evidence of regulatory interactions. We use the GRAM algorithm to describe a genome-wide regulatory network in Saccharomyces cerevisiae using binding information for 106 transcription factors profiled in rich medium conditions data* from over 500 expression experiments. We also present a genome-wide location analysis data set for regulators in yeast cells treated with rapamycin, and use the GRAM algorithm to provide biological insights into this regulatory network.
*Note: In the version of this article initially published online, the word "and" was omitted from the fourth sentence of the abstract, altering the meaning. The sentence should read: "We use the GRAM algorithm to describe a genome-wide regulatory network in Saccharomyces cerevisiae using binding information for 106 transcription factors profiled in rich medium conditions and data from over 500 expression experiments." This mistake has been corrected for the HTML and print versions of the article.
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