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RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes
The RegPrecise database (http://regprecise.lbl.gov) was developed for capturing, visualization and analysis of predicted transcription factor regulons in prokaryotes that were reconstructed and manually curated by utilizing the comparative genomic approach. A significant number of high-quality infer...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808921/ https://www.ncbi.nlm.nih.gov/pubmed/19884135 http://dx.doi.org/10.1093/nar/gkp894 |
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author | Novichkov, Pavel S. Laikova, Olga N. Novichkova, Elena S. Gelfand, Mikhail S. Arkin, Adam P. Dubchak, Inna Rodionov, Dmitry A. |
author_facet | Novichkov, Pavel S. Laikova, Olga N. Novichkova, Elena S. Gelfand, Mikhail S. Arkin, Adam P. Dubchak, Inna Rodionov, Dmitry A. |
author_sort | Novichkov, Pavel S. |
collection | PubMed |
description | The RegPrecise database (http://regprecise.lbl.gov) was developed for capturing, visualization and analysis of predicted transcription factor regulons in prokaryotes that were reconstructed and manually curated by utilizing the comparative genomic approach. A significant number of high-quality inferences of transcriptional regulatory interactions have been already accumulated for diverse taxonomic groups of bacteria. The reconstructed regulons include transcription factors, their cognate DNA motifs and regulated genes/operons linked to the candidate transcription factor binding sites. The RegPrecise allows for browsing the regulon collections for: (i) conservation of DNA binding sites and regulated genes for a particular regulon across diverse taxonomic lineages; (ii) sets of regulons for a family of transcription factors; (iii) repertoire of regulons in a particular taxonomic group of species; (iv) regulons associated with a metabolic pathway or a biological process in various genomes. The initial release of the database includes ∼11 500 candidate binding sites for ∼400 orthologous groups of transcription factors from over 350 prokaryotic genomes. Majority of these data are represented by genome-wide regulon reconstructions in Shewanella and Streptococcus genera and a large-scale prediction of regulons for the LacI family of transcription factors. Another section in the database represents the results of accurate regulon propagation to the closely related genomes. |
format | Text |
id | pubmed-2808921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28089212010-01-20 RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes Novichkov, Pavel S. Laikova, Olga N. Novichkova, Elena S. Gelfand, Mikhail S. Arkin, Adam P. Dubchak, Inna Rodionov, Dmitry A. Nucleic Acids Res Articles The RegPrecise database (http://regprecise.lbl.gov) was developed for capturing, visualization and analysis of predicted transcription factor regulons in prokaryotes that were reconstructed and manually curated by utilizing the comparative genomic approach. A significant number of high-quality inferences of transcriptional regulatory interactions have been already accumulated for diverse taxonomic groups of bacteria. The reconstructed regulons include transcription factors, their cognate DNA motifs and regulated genes/operons linked to the candidate transcription factor binding sites. The RegPrecise allows for browsing the regulon collections for: (i) conservation of DNA binding sites and regulated genes for a particular regulon across diverse taxonomic lineages; (ii) sets of regulons for a family of transcription factors; (iii) repertoire of regulons in a particular taxonomic group of species; (iv) regulons associated with a metabolic pathway or a biological process in various genomes. The initial release of the database includes ∼11 500 candidate binding sites for ∼400 orthologous groups of transcription factors from over 350 prokaryotic genomes. Majority of these data are represented by genome-wide regulon reconstructions in Shewanella and Streptococcus genera and a large-scale prediction of regulons for the LacI family of transcription factors. Another section in the database represents the results of accurate regulon propagation to the closely related genomes. Oxford University Press 2010-01 2009-11-01 /pmc/articles/PMC2808921/ /pubmed/19884135 http://dx.doi.org/10.1093/nar/gkp894 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Novichkov, Pavel S. Laikova, Olga N. Novichkova, Elena S. Gelfand, Mikhail S. Arkin, Adam P. Dubchak, Inna Rodionov, Dmitry A. RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title | RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title_full | RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title_fullStr | RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title_full_unstemmed | RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title_short | RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
title_sort | regprecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808921/ https://www.ncbi.nlm.nih.gov/pubmed/19884135 http://dx.doi.org/10.1093/nar/gkp894 |
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