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RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes
RegTransBase is a manually curated database of regulatory interactions in prokaryotes that captures the knowledge in public scientific literature using a controlled vocabulary. Although several databases describing interactions between regulatory proteins and their binding sites are already being ma...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669780/ https://www.ncbi.nlm.nih.gov/pubmed/17142223 http://dx.doi.org/10.1093/nar/gkl865 |
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author | Kazakov, Alexei E. Cipriano, Michael J. Novichkov, Pavel S. Minovitsky, Simon Vinogradov, Dmitry V. Arkin, Adam Mironov, Andrey A. Gelfand, Mikhail S. Dubchak, Inna |
author_facet | Kazakov, Alexei E. Cipriano, Michael J. Novichkov, Pavel S. Minovitsky, Simon Vinogradov, Dmitry V. Arkin, Adam Mironov, Andrey A. Gelfand, Mikhail S. Dubchak, Inna |
author_sort | Kazakov, Alexei E. |
collection | PubMed |
description | RegTransBase is a manually curated database of regulatory interactions in prokaryotes that captures the knowledge in public scientific literature using a controlled vocabulary. Although several databases describing interactions between regulatory proteins and their binding sites are already being maintained, they either focus mostly on the model organisms Escherichia coli and Bacillus subtilis or are entirely computationally derived. RegTransBase describes a large number of regulatory interactions reported in many organisms and contains the following types of experimental data: the activation or repression of transcription by an identified direct regulator, determining the transcriptional regulatory function of a protein (or RNA) directly binding to DNA (RNA), mapping or prediction of a binding site for a regulatory protein and characterization of regulatory mutations. Currently, RegTransBase content is derived from about 3000 relevant articles describing over 7000 experiments in relation to 128 microbes. It contains data on the regulation of about 7500 genes and evidence for 6500 interactions with 650 regulators. RegTransBase also contains manually created position weight matrices (PWM) that can be used to identify candidate regulatory sites in over 60 species. RegTransBase is available at . |
format | Text |
id | pubmed-1669780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-16697802007-02-22 RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes Kazakov, Alexei E. Cipriano, Michael J. Novichkov, Pavel S. Minovitsky, Simon Vinogradov, Dmitry V. Arkin, Adam Mironov, Andrey A. Gelfand, Mikhail S. Dubchak, Inna Nucleic Acids Res Articles RegTransBase is a manually curated database of regulatory interactions in prokaryotes that captures the knowledge in public scientific literature using a controlled vocabulary. Although several databases describing interactions between regulatory proteins and their binding sites are already being maintained, they either focus mostly on the model organisms Escherichia coli and Bacillus subtilis or are entirely computationally derived. RegTransBase describes a large number of regulatory interactions reported in many organisms and contains the following types of experimental data: the activation or repression of transcription by an identified direct regulator, determining the transcriptional regulatory function of a protein (or RNA) directly binding to DNA (RNA), mapping or prediction of a binding site for a regulatory protein and characterization of regulatory mutations. Currently, RegTransBase content is derived from about 3000 relevant articles describing over 7000 experiments in relation to 128 microbes. It contains data on the regulation of about 7500 genes and evidence for 6500 interactions with 650 regulators. RegTransBase also contains manually created position weight matrices (PWM) that can be used to identify candidate regulatory sites in over 60 species. RegTransBase is available at . Oxford University Press 2007-01 2006-11-16 /pmc/articles/PMC1669780/ /pubmed/17142223 http://dx.doi.org/10.1093/nar/gkl865 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kazakov, Alexei E. Cipriano, Michael J. Novichkov, Pavel S. Minovitsky, Simon Vinogradov, Dmitry V. Arkin, Adam Mironov, Andrey A. Gelfand, Mikhail S. Dubchak, Inna RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title | RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title_full | RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title_fullStr | RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title_full_unstemmed | RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title_short | RegTransBase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
title_sort | regtransbase—a database of regulatory sequences and interactions in a wide range of prokaryotic genomes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669780/ https://www.ncbi.nlm.nih.gov/pubmed/17142223 http://dx.doi.org/10.1093/nar/gkl865 |
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