Decoding Human Regulatory Circuits

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Decoding Human Regulatory Circuits

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Title: Decoding Human Regulatory Circuits
Author: Thompson, William; Palumbo, Michael J.; Wasserman, Wyeth W.; Liu, Jun; Lawrence, Charles E.

Note: Order does not necessarily reflect citation order of authors.

Citation: Thompson, W. 2004. “Decoding Human Regulatory Circuits.” Genome Research 14 (10a) (September 13): 1967–1974. doi:10.1101/gr.2589004.
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Abstract: Clusters of transcription factor binding sites (TFBSs) which direct gene expression constitute cis-regulatory modules (CRMs). We present a novel algorithm, based on Gibbs sampling, which locates, de novo, the cis features of these CRMs, their component TFBSs, and the properties of their spatial distribution. The algorithm finds 69% of experimentally reported TFBSs and 85% of the CRMs in a reference data set of regions upstream of genes differentially expressed in skeletal muscle cells. A discriminant procedure based on the output of the model specifically discriminated regulatory sequences in muscle-specific genes in an independent test set. Application of the method to the analysis of 2710 10-kb fragments upstream of annotated human genes identified 17 novel candidate modules with a false discovery rate ≤0.05, demonstrating the applicability of the method to genome-scale data.
Published Version: doi:10.1101/gr.2589004
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC524421/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:27002631
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