English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/91869
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


FootprintDB: A database of transcription factors with annotated cis elements and binding interfaces

AuthorsSebastián Yagüe, Álvaro CSIC; Contreras-Moreira, Bruno CSIC ORCID
Issue DateJan-2014
PublisherOxford University Press
CitationSebastian A, Contreras-Moreira B. FootprintDB: A database of transcription factors with annotated cis elements and binding interfaces. Bioinformatics 30 (2): 258-265 (2014)
AbstractMotivation: Traditional and high-throughput techniques for determining transcription factor (TF) binding specificities are generating large volumes of data of uneven quality, which are scattered across individual databases. Results: FootprintDB integrates some of the most comprehensive freely available libraries of curated DNA binding sites and systematically annotates the binding interfaces of the corresponding TFs. The first release contains 2422 unique TF sequences, 10 112 DNA binding sites and 3662 DNA motifs. A survey of the included data sources, organisms and TF families was performed together with proprietary database TRANSFAC, finding that footprintDB has a similar coverage of multicellular organisms, while also containing bacterial regulatory data. A search engine has been designed that drives the prediction of DNA motifs for input TFs, or conversely of TF sequences that might recognize input regulatory sequences, by comparison with database entries. Such predictions can also be extended to a single proteome chosen by the user, and results are ranked in terms of interface similarity. Benchmark experiments with bacterial, plant and human data were performed to measure the predictive power of footprintDB searches, which were able to correctly recover 10, 55 and 90% of the tested sequences, respectively. Correctly predicted TFs had a higher interface similarity than the average, confirming its diagnostic value.
Description24 Pags., 5 figs., 8 suppl. figs., 2 tabls., 7 suppl. tabls. Available online 14 November 2013. This is a pre-copyedited, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version [Bioinformatics 30 (2): 258-265 (2014)] is available online at: http://bioinformatics.oxfordjournals.org/content/30/2/258.full
Publisher version (URL)http://dx.doi.org/10.1093/bioinformatics/btt663
Appears in Collections:(EEAD) Artículos
Files in This Item:
File Description SizeFormat 
ContrerasB_Bioinformatics_2014_30_2.pdf704,55 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.