RT Journal
A1 Loots, Gabriela G.
A1 Ovcharenko, Ivan
A1 Pachter, Lior
A1 Dubchak, Inna
A1 Rubin, Edward M.
T1 
rVista for Comparative Sequence-Based Discovery of Functional Transcription Factor Binding Sites
JF Genome Research 
JO Genome Research 
YR 2002 
FD May 01 
VO 12 
IS 5 
SP 832 
OP 839 
DO 10.1101/gr.225502 
UL http://genome.cshlp.org/content/12/5/832.abstract 
AB 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 clustering of predicted transcription factor binding sites (TFBSs) and the analysis of interspecies sequence conservation to maximize the identification of functional sites. To assess the ability of rVISTA to discover true positive TFBSs while minimizing the prediction of false positives, we analyzed the distribution of several TFBSs across 1 Mb of the well-annotated cytokine gene cluster (Hs5q31; Mm11). Because a large number of AP-1, NFAT, and GATA-3 sites have been experimentally identified in this interval, we focused our analysis on the distribution of all binding sites specific for these transcription factors. The exploitation of the orthologous human–mouse dataset resulted in the elimination of >95% of the ∼58,000 binding sites predicted on analysis of the human sequence alone, whereas it identified 88% of the experimentally verified binding sites in this region.