Description: Identifying transcriptional regulatory elements represents a significant challenge in annotating the genomes of higher vertebrates. We have developed a computational tool, rVISTA, for high-throughput discovery of cis-regulatory elements that combines transcription factor binding site prediction and the analysis of inter-species sequence conservation. Here, we illustrate the ability of rVISTA to identify true transcription factor binding sites through the analysis of AP-1 and NFAT binding sites in the 1 Mb well-annotated cytokine gene cluster1 (Hs5q31; Mm11). The exploitation of orthologous human-mouse data set resulted in the elimination of 95 percent of the 38,000 binding sites predicted upon analysis of the human sequence alone, while it identified 87 percent of the experimentally verified binding sites in this region.
Date: March 8, 2002
Creator: Loots, Gabriela G.; Ovcharenko, Ivan; Pachter, Lior; Dubchak, Inna & Rubin, Edward M.
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