Whole-Genome rVISTA: A tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data
Bioinformatics, ISSN: 1367-4803, Vol: 29, Issue: 16, Page: 2059-2061
2013
- 19Citations
- 64Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations19
- Citation Indexes19
- CrossRef19
- 19
- Captures64
- Readers64
- 64
Article Description
We have developed a web-based query tool, Whole- Genome rVISTA (WGRV), that determines enrichment of transcription factors (TFs) and associated target genes in sets of co-regulated genes. WGRV enables users to query databases containing pre-computed genome coordinates of evolutionarily conserved transcription factor binding sites in the proximal promoters (from 100 bp to 5 kb upstream) of human, mouse and Drosophila genomes. TF binding sites are based on position-weight matrices from the TRANSFAC Professional database. For a given set of co-regulated genes, WGRV returns statistically enriched and evolutionarily conserved binding sites, mapped by the regulatory VISTA (rVISTA) algorithm. Users can then retrieve a list of genes from the query set containing the enriched TF binding sites and their location in the query set promoters. Results are exported in a BED format for rapid visualization in the UCSC genome browser. Flat files of mapped conserved sites and their genomic coordinates are also available for analysis with standalone software. Availability: http://genome.lbl.gov/cgi-bin/WGRVistaInputCommon.pl. Contact: azambon@ucsd.edu or ildubchak@lbl.gov Supplementary information: Supplementary data are available at Bioinformatics online. © 2013 The Author 2013. Published by Oxford University Press.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84880993473&origin=inward; http://dx.doi.org/10.1093/bioinformatics/btt318; http://www.ncbi.nlm.nih.gov/pubmed/23736530; https://academic.oup.com/bioinformatics/article/29/16/2059/199503; https://dx.doi.org/10.1093/bioinformatics/btt318; http://bioinformatics.oxfordjournals.org/lookup/doi/10.1093/bioinformatics/btt318; https://academic.oup.com/bioinformatics/article-pdf/29/16/2059/16914324/btt318.pdf; http://bioinformatics.oxfordjournals.org/content/29/16/2059; https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btt318; http://bioinformatics.oxfordjournals.org/cgi/doi/10.1093/bioinformatics/btt318
Oxford University Press (OUP)
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