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RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach

RegPredict web server is designed to provide comparative genomics tools for reconstruction and analysis of microbial regulons using comparative genomics approach. The server allows the user to rapidly generate reference sets of regulons and regulatory motif profiles in a group of prokaryotic genomes...

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Autores principales: Novichkov, Pavel S., Rodionov, Dmitry A., Stavrovskaya, Elena D., Novichkova, Elena S., Kazakov, Alexey E., Gelfand, Mikhail S., Arkin, Adam P., Mironov, Andrey A., Dubchak, Inna
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896116/
https://www.ncbi.nlm.nih.gov/pubmed/20542910
http://dx.doi.org/10.1093/nar/gkq531
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author Novichkov, Pavel S.
Rodionov, Dmitry A.
Stavrovskaya, Elena D.
Novichkova, Elena S.
Kazakov, Alexey E.
Gelfand, Mikhail S.
Arkin, Adam P.
Mironov, Andrey A.
Dubchak, Inna
author_facet Novichkov, Pavel S.
Rodionov, Dmitry A.
Stavrovskaya, Elena D.
Novichkova, Elena S.
Kazakov, Alexey E.
Gelfand, Mikhail S.
Arkin, Adam P.
Mironov, Andrey A.
Dubchak, Inna
author_sort Novichkov, Pavel S.
collection PubMed
description RegPredict web server is designed to provide comparative genomics tools for reconstruction and analysis of microbial regulons using comparative genomics approach. The server allows the user to rapidly generate reference sets of regulons and regulatory motif profiles in a group of prokaryotic genomes. The new concept of a cluster of co-regulated orthologous operons allows the user to distribute the analysis of large regulons and to perform the comparative analysis of multiple clusters independently. Two major workflows currently implemented in RegPredict are: (i) regulon reconstruction for a known regulatory motif and (ii) ab initio inference of a novel regulon using several scenarios for the generation of starting gene sets. RegPredict provides a comprehensive collection of manually curated positional weight matrices of regulatory motifs. It is based on genomic sequences, ortholog and operon predictions from the MicrobesOnline. An interactive web interface of RegPredict integrates and presents diverse genomic and functional information about the candidate regulon members from several web resources. RegPredict is freely accessible at http://regpredict.lbl.gov.
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spelling pubmed-28961162010-07-02 RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach Novichkov, Pavel S. Rodionov, Dmitry A. Stavrovskaya, Elena D. Novichkova, Elena S. Kazakov, Alexey E. Gelfand, Mikhail S. Arkin, Adam P. Mironov, Andrey A. Dubchak, Inna Nucleic Acids Res Articles RegPredict web server is designed to provide comparative genomics tools for reconstruction and analysis of microbial regulons using comparative genomics approach. The server allows the user to rapidly generate reference sets of regulons and regulatory motif profiles in a group of prokaryotic genomes. The new concept of a cluster of co-regulated orthologous operons allows the user to distribute the analysis of large regulons and to perform the comparative analysis of multiple clusters independently. Two major workflows currently implemented in RegPredict are: (i) regulon reconstruction for a known regulatory motif and (ii) ab initio inference of a novel regulon using several scenarios for the generation of starting gene sets. RegPredict provides a comprehensive collection of manually curated positional weight matrices of regulatory motifs. It is based on genomic sequences, ortholog and operon predictions from the MicrobesOnline. An interactive web interface of RegPredict integrates and presents diverse genomic and functional information about the candidate regulon members from several web resources. RegPredict is freely accessible at http://regpredict.lbl.gov. Oxford University Press 2010-07-01 2010-06-11 /pmc/articles/PMC2896116/ /pubmed/20542910 http://dx.doi.org/10.1093/nar/gkq531 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Novichkov, Pavel S.
Rodionov, Dmitry A.
Stavrovskaya, Elena D.
Novichkova, Elena S.
Kazakov, Alexey E.
Gelfand, Mikhail S.
Arkin, Adam P.
Mironov, Andrey A.
Dubchak, Inna
RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title_full RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title_fullStr RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title_full_unstemmed RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title_short RegPredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
title_sort regpredict: an integrated system for regulon inference in prokaryotes by comparative genomics approach
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896116/
https://www.ncbi.nlm.nih.gov/pubmed/20542910
http://dx.doi.org/10.1093/nar/gkq531
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