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GTRD: a database on gene transcription regulation—2019 update
The current version of the Gene Transcription Regulation Database (GTRD; http://gtrd.biouml.org) contains information about: (i) transcription factor binding sites (TFBSs) and transcription coactivators identified by ChIP-seq experiments for Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323985/ https://www.ncbi.nlm.nih.gov/pubmed/30445619 http://dx.doi.org/10.1093/nar/gky1128 |
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author | Yevshin, Ivan Sharipov, Ruslan Kolmykov, Semyon Kondrakhin, Yury Kolpakov, Fedor |
author_facet | Yevshin, Ivan Sharipov, Ruslan Kolmykov, Semyon Kondrakhin, Yury Kolpakov, Fedor |
author_sort | Yevshin, Ivan |
collection | PubMed |
description | The current version of the Gene Transcription Regulation Database (GTRD; http://gtrd.biouml.org) contains information about: (i) transcription factor binding sites (TFBSs) and transcription coactivators identified by ChIP-seq experiments for Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Saccharomyces cerevisiae, Schizosaccharomyces pombe and Arabidopsis thaliana; (ii) regions of open chromatin and TFBSs (DNase footprints) identified by DNase-seq; (iii) unmappable regions where TFBSs cannot be identified due to repeats; (iv) potential TFBSs for both human and mouse using position weight matrices from the HOCOMOCO database. Raw ChIP-seq and DNase-seq data were obtained from ENCODE and SRA, and uniformly processed. ChIP-seq peaks were called using four different methods: MACS, SISSRs, GEM and PICS. Moreover, peaks for the same factor and peak calling method, albeit using different experiment conditions (cell line, treatment, etc.), were merged into clusters. To reduce noise, such clusters for different peak calling methods were merged into meta-clusters; these were considered to be non-redundant TFBS sets. Moreover, extended quality control was applied to all ChIP-seq data. Web interface to access GTRD was developed using the BioUML platform. It provides browsing and displaying information, advanced search possibilities and an integrated genome browser. |
format | Online Article Text |
id | pubmed-6323985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63239852019-01-10 GTRD: a database on gene transcription regulation—2019 update Yevshin, Ivan Sharipov, Ruslan Kolmykov, Semyon Kondrakhin, Yury Kolpakov, Fedor Nucleic Acids Res Database Issue The current version of the Gene Transcription Regulation Database (GTRD; http://gtrd.biouml.org) contains information about: (i) transcription factor binding sites (TFBSs) and transcription coactivators identified by ChIP-seq experiments for Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Saccharomyces cerevisiae, Schizosaccharomyces pombe and Arabidopsis thaliana; (ii) regions of open chromatin and TFBSs (DNase footprints) identified by DNase-seq; (iii) unmappable regions where TFBSs cannot be identified due to repeats; (iv) potential TFBSs for both human and mouse using position weight matrices from the HOCOMOCO database. Raw ChIP-seq and DNase-seq data were obtained from ENCODE and SRA, and uniformly processed. ChIP-seq peaks were called using four different methods: MACS, SISSRs, GEM and PICS. Moreover, peaks for the same factor and peak calling method, albeit using different experiment conditions (cell line, treatment, etc.), were merged into clusters. To reduce noise, such clusters for different peak calling methods were merged into meta-clusters; these were considered to be non-redundant TFBS sets. Moreover, extended quality control was applied to all ChIP-seq data. Web interface to access GTRD was developed using the BioUML platform. It provides browsing and displaying information, advanced search possibilities and an integrated genome browser. Oxford University Press 2019-01-08 2018-11-16 /pmc/articles/PMC6323985/ /pubmed/30445619 http://dx.doi.org/10.1093/nar/gky1128 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Yevshin, Ivan Sharipov, Ruslan Kolmykov, Semyon Kondrakhin, Yury Kolpakov, Fedor GTRD: a database on gene transcription regulation—2019 update |
title | GTRD: a database on gene transcription regulation—2019 update |
title_full | GTRD: a database on gene transcription regulation—2019 update |
title_fullStr | GTRD: a database on gene transcription regulation—2019 update |
title_full_unstemmed | GTRD: a database on gene transcription regulation—2019 update |
title_short | GTRD: a database on gene transcription regulation—2019 update |
title_sort | gtrd: a database on gene transcription regulation—2019 update |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323985/ https://www.ncbi.nlm.nih.gov/pubmed/30445619 http://dx.doi.org/10.1093/nar/gky1128 |
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