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Discovering functional transcription factor binding from superimposed gene networks

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2 Author(s)
Weirauch, M. ; Dept. of Biomolecular Eng., California Univ., Santa Cruz, CA, USA ; Stuart, J.

The availability of entire genome sequences, coupled with genome-wide studies of gene expression, offers promise for discovering new pathways along with their regulatory programs. Clusters identified from gene co-expression networks (GCNs) reveal correlations between genes but say little about the mechanism behind their coregulation. We have constructed a co-binding network (CBN) to identify the potential combinations of transcription factors (TFs) that may regulate a set of genes. The CBN was built by connecting all pairs of genes bound by the same transcription factor observed in ChIP-Chip microarray experiments. We superimposed the CBN onto the GCN to identify clusters of genes in overlapping subnetworks. Applying our method to a GCN derived from four distantly related species, we identified transcription factor combinations for several conserved sub-networks in yeast.

Published in:

Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE

Date of Conference:

8-11 Aug. 2005