rVista for comparative sequence-based discovery of functional transcription factor binding sites.

@article{citeulike:876640, abstract = {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 approximately 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.}, address = {Genome Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ggloots@lbl.gov}, author = {Loots, G. G. and Ovcharenko, I. and Pachter, L. and Dubchak, I. and Rubin, E. M. }, citeulike-article-id = {876640}, comment = {rVista does not take into account phylogentic information... probably not worth getting but perhaps worth citing...}, issn = {1088-9051}, journal = {Genome Res}, keywords = {motifpaper}, month = {May}, number = {5}, pages = {832--839}, posted-at = {2006-09-28 21:33:11}, priority = {1}, title = {rVista for comparative sequence-based discovery of functional transcription factor binding sites.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11997350}, volume = {12}, year = {2002} }

TY - JOUR ID - citeulike:876640 L3 - citeulike-article-id:876640 TI - rVista for comparative sequence-based discovery of functional transcription factor binding sites. JF - Genome Res VL - 12 IS - 5 SP - 832 EP - 839 AD - Genome Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ggloots@lbl.gov SN - 1088-9051 N2 - 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 approximately 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. KW - motifpaper N1 - rVista does not take into account phylogentic information... probably not worth getting but perhaps worth citing... AU - Loots, GG AU - Ovcharenko, I AU - Pachter, L AU - Dubchak, I AU - Rubin, EM PY - 2002/05// UR - http://view.ncbi.nlm.nih.gov/pubmed/11997350 ER -