RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes.
RegPrecise: a database of curated genomic inferences of transcriptional regulatory interactions in prokaryotes.
复制标题
DOI:
10.1093/nar/gkp894
复制
发表时间:
2010-01
影响因子:
14.9
通讯作者:
Rodionov DA
中科院分区:
文献类型:
--
作者:
Novichkov PS;Laikova ON;Novichkova ES;Gelfand MS;Arkin AP;Dubchak I;Rodionov DA
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.
登录
查看更多内容
影响因子:
14.9
作者:
Krawczyk J;Kohl TA;Goesmann A;Kalinowski J;Baumbach J
通讯作者:
Baumbach J
DOI:
10.1073/pnas.1733691100
发表时间:
2003-08-19
影响因子:
11.1
作者:
Panina, EM;Mironov, AA;Gelfand, MS
通讯作者:
Gelfand, MS
影响因子:
7
作者:
Alm, EJ;Huang, KH;Arkin, AP
通讯作者:
Arkin, AP
影响因子:
4.2
作者:
Permina EA;Kazakov AE;Kalinina OV;Gelfand MS
通讯作者:
Gelfand MS
影响因子:
3
作者:
Baumbach J
通讯作者:
Baumbach J