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YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae

The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT—www.yeastract.com) information system has been, for 11 years, a key tool for the analysis and prediction of transcription regulatory associations at the gene and genomic levels in Saccharomyces cerevisiae. Since its la...

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Autores principales: Teixeira, Miguel C, Monteiro, Pedro T, Palma, Margarida, Costa, Catarina, Godinho, Cláudia P, Pais, Pedro, Cavalheiro, Mafalda, Antunes, Miguel, Lemos, Alexandre, Pedreira, Tiago, Sá-Correia, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753369/
https://www.ncbi.nlm.nih.gov/pubmed/29036684
http://dx.doi.org/10.1093/nar/gkx842
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author Teixeira, Miguel C
Monteiro, Pedro T
Palma, Margarida
Costa, Catarina
Godinho, Cláudia P
Pais, Pedro
Cavalheiro, Mafalda
Antunes, Miguel
Lemos, Alexandre
Pedreira, Tiago
Sá-Correia, Isabel
author_facet Teixeira, Miguel C
Monteiro, Pedro T
Palma, Margarida
Costa, Catarina
Godinho, Cláudia P
Pais, Pedro
Cavalheiro, Mafalda
Antunes, Miguel
Lemos, Alexandre
Pedreira, Tiago
Sá-Correia, Isabel
author_sort Teixeira, Miguel C
collection PubMed
description The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT—www.yeastract.com) information system has been, for 11 years, a key tool for the analysis and prediction of transcription regulatory associations at the gene and genomic levels in Saccharomyces cerevisiae. Since its last update in June 2017, YEASTRACT includes approximately 163000 regulatory associations between transcription factors (TF) and target genes in S. cerevisiae, based on more than 1600 bibliographic references; it also includes 247 specific DNA binding consensus recognized by 113 TFs. This release of the YEASTRACT database provides new visualization tools to visualize each regulatory network in an interactive fashion, enabling the user to select and observe subsets of the network such as: (i) considering only DNA binding evidence or both DNA binding and expression evidence; (ii) considering only either positive or negative regulatory associations; or (iii) considering only one set of related environmental conditions. A further tool to observe TF regulons is also offered, enabling a clear-cut understanding of the exact meaning of the available data. We believe that with this new version, YEASTRACT will improve its role as an open web resource instrumental for Yeast Biologists and Systems Biology researchers.
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spelling pubmed-57533692018-01-05 YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae Teixeira, Miguel C Monteiro, Pedro T Palma, Margarida Costa, Catarina Godinho, Cláudia P Pais, Pedro Cavalheiro, Mafalda Antunes, Miguel Lemos, Alexandre Pedreira, Tiago Sá-Correia, Isabel Nucleic Acids Res Database Issue The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT—www.yeastract.com) information system has been, for 11 years, a key tool for the analysis and prediction of transcription regulatory associations at the gene and genomic levels in Saccharomyces cerevisiae. Since its last update in June 2017, YEASTRACT includes approximately 163000 regulatory associations between transcription factors (TF) and target genes in S. cerevisiae, based on more than 1600 bibliographic references; it also includes 247 specific DNA binding consensus recognized by 113 TFs. This release of the YEASTRACT database provides new visualization tools to visualize each regulatory network in an interactive fashion, enabling the user to select and observe subsets of the network such as: (i) considering only DNA binding evidence or both DNA binding and expression evidence; (ii) considering only either positive or negative regulatory associations; or (iii) considering only one set of related environmental conditions. A further tool to observe TF regulons is also offered, enabling a clear-cut understanding of the exact meaning of the available data. We believe that with this new version, YEASTRACT will improve its role as an open web resource instrumental for Yeast Biologists and Systems Biology researchers. Oxford University Press 2018-01-04 2017-09-25 /pmc/articles/PMC5753369/ /pubmed/29036684 http://dx.doi.org/10.1093/nar/gkx842 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Teixeira, Miguel C
Monteiro, Pedro T
Palma, Margarida
Costa, Catarina
Godinho, Cláudia P
Pais, Pedro
Cavalheiro, Mafalda
Antunes, Miguel
Lemos, Alexandre
Pedreira, Tiago
Sá-Correia, Isabel
YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title_full YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title_fullStr YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title_full_unstemmed YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title_short YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae
title_sort yeastract: an upgraded database for the analysis of transcription regulatory networks in saccharomyces cerevisiae
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753369/
https://www.ncbi.nlm.nih.gov/pubmed/29036684
http://dx.doi.org/10.1093/nar/gkx842
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