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The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

We present the YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database, a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. This database is a repository of 12 346 regulatory associations between transcription factors and ta...

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Autores principales: Teixeira, Miguel C., Monteiro, Pedro, Jain, Pooja, Tenreiro, Sandra, Fernandes, Alexandra R., Mira, Nuno P., Alenquer, Marta, Freitas, Ana T., Oliveira, Arlindo L., Sá-Correia, Isabel
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347376/
https://www.ncbi.nlm.nih.gov/pubmed/16381908
http://dx.doi.org/10.1093/nar/gkj013
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author Teixeira, Miguel C.
Monteiro, Pedro
Jain, Pooja
Tenreiro, Sandra
Fernandes, Alexandra R.
Mira, Nuno P.
Alenquer, Marta
Freitas, Ana T.
Oliveira, Arlindo L.
Sá-Correia, Isabel
author_facet Teixeira, Miguel C.
Monteiro, Pedro
Jain, Pooja
Tenreiro, Sandra
Fernandes, Alexandra R.
Mira, Nuno P.
Alenquer, Marta
Freitas, Ana T.
Oliveira, Arlindo L.
Sá-Correia, Isabel
author_sort Teixeira, Miguel C.
collection PubMed
description We present the YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database, a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. This database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references. It also includes 257 specific DNA-binding sites for more than a hundred characterized transcription factors. Further information about each yeast gene included in the database was obtained from Saccharomyces Genome Database (SGD), Regulatory Sequences Analysis Tools and Gene Ontology (GO) Consortium. Computational tools are also provided to facilitate the exploitation of the gathered data when solving a number of biological questions as exemplified in the Tutorial also available on the system. YEASTRACT allows the identification of documented or potential transcription regulators of a given gene and of documented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs, such as those found to be over-represented in the promoter regions of co-regulated genes, and the transcription factor-binding sites described in the literature. The system also provides an useful mechanism for grouping a list of genes (for instance a set of genes with similar expression profiles as revealed by microarray analysis) based on their regulatory associations with known transcription factors.
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spelling pubmed-13473762006-01-25 The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae Teixeira, Miguel C. Monteiro, Pedro Jain, Pooja Tenreiro, Sandra Fernandes, Alexandra R. Mira, Nuno P. Alenquer, Marta Freitas, Ana T. Oliveira, Arlindo L. Sá-Correia, Isabel Nucleic Acids Res Article We present the YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database, a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. This database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references. It also includes 257 specific DNA-binding sites for more than a hundred characterized transcription factors. Further information about each yeast gene included in the database was obtained from Saccharomyces Genome Database (SGD), Regulatory Sequences Analysis Tools and Gene Ontology (GO) Consortium. Computational tools are also provided to facilitate the exploitation of the gathered data when solving a number of biological questions as exemplified in the Tutorial also available on the system. YEASTRACT allows the identification of documented or potential transcription regulators of a given gene and of documented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs, such as those found to be over-represented in the promoter regions of co-regulated genes, and the transcription factor-binding sites described in the literature. The system also provides an useful mechanism for grouping a list of genes (for instance a set of genes with similar expression profiles as revealed by microarray analysis) based on their regulatory associations with known transcription factors. Oxford University Press 2006-01-01 2005-12-28 /pmc/articles/PMC1347376/ /pubmed/16381908 http://dx.doi.org/10.1093/nar/gkj013 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Teixeira, Miguel C.
Monteiro, Pedro
Jain, Pooja
Tenreiro, Sandra
Fernandes, Alexandra R.
Mira, Nuno P.
Alenquer, Marta
Freitas, Ana T.
Oliveira, Arlindo L.
Sá-Correia, Isabel
The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title_full The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title_fullStr The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title_full_unstemmed The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title_short The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae
title_sort yeastract database: a tool for the analysis of transcription regulatory associations in saccharomyces cerevisiae
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1347376/
https://www.ncbi.nlm.nih.gov/pubmed/16381908
http://dx.doi.org/10.1093/nar/gkj013
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