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ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments

ReMap (http://remap.univ-amu.fr) aims to provide the largest catalogs of high-quality regulatory regions resulting from a large-scale integrative analysis of hundreds of transcription factors and regulators from DNA-binding experiments in Human and Arabidopsis (Arabidopsis thaliana). In this 2020 up...

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Autores principales: Chèneby, Jeanne, Ménétrier, Zacharie, Mestdagh, Martin, Rosnet, Thomas, Douida, Allyssa, Rhalloussi, Wassim, Bergon, Aurélie, Lopez, Fabrice, Ballester, Benoit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145625/
https://www.ncbi.nlm.nih.gov/pubmed/31665499
http://dx.doi.org/10.1093/nar/gkz945
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author Chèneby, Jeanne
Ménétrier, Zacharie
Mestdagh, Martin
Rosnet, Thomas
Douida, Allyssa
Rhalloussi, Wassim
Bergon, Aurélie
Lopez, Fabrice
Ballester, Benoit
author_facet Chèneby, Jeanne
Ménétrier, Zacharie
Mestdagh, Martin
Rosnet, Thomas
Douida, Allyssa
Rhalloussi, Wassim
Bergon, Aurélie
Lopez, Fabrice
Ballester, Benoit
author_sort Chèneby, Jeanne
collection PubMed
description ReMap (http://remap.univ-amu.fr) aims to provide the largest catalogs of high-quality regulatory regions resulting from a large-scale integrative analysis of hundreds of transcription factors and regulators from DNA-binding experiments in Human and Arabidopsis (Arabidopsis thaliana). In this 2020 update of ReMap we have collected, analyzed and retained after quality control 2764 new human ChIP-seq and 208 ChIP-exo datasets available from public sources. The updated human atlas totalize 5798 datasets covering a total of 1135 transcriptional regulators (TRs) with a catalog of 165 million (M) peaks. This ReMap update comes with two unique Arabidopsis regulatory catalogs. First, a catalog of 372 Arabidopsis TRs across 2.6M peaks as a result of the integration of 509 ChIP-seq and DAP-seq datasets. Second, a catalog of 33 histone modifications and variants across 4.5M peaks from the integration of 286 ChIP-seq datasets. All catalogs are made available through track hubs at Ensembl and UCSC Genome Browsers. Additionally, this update comes with a new web framework providing an interactive user-interface, including improved search features. Finally, full programmatically access to the underlying data is available using a RESTful API together with a new R Shiny interface for a TRs binding enrichment analysis tool.
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spelling pubmed-71456252020-04-13 ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments Chèneby, Jeanne Ménétrier, Zacharie Mestdagh, Martin Rosnet, Thomas Douida, Allyssa Rhalloussi, Wassim Bergon, Aurélie Lopez, Fabrice Ballester, Benoit Nucleic Acids Res Database Issue ReMap (http://remap.univ-amu.fr) aims to provide the largest catalogs of high-quality regulatory regions resulting from a large-scale integrative analysis of hundreds of transcription factors and regulators from DNA-binding experiments in Human and Arabidopsis (Arabidopsis thaliana). In this 2020 update of ReMap we have collected, analyzed and retained after quality control 2764 new human ChIP-seq and 208 ChIP-exo datasets available from public sources. The updated human atlas totalize 5798 datasets covering a total of 1135 transcriptional regulators (TRs) with a catalog of 165 million (M) peaks. This ReMap update comes with two unique Arabidopsis regulatory catalogs. First, a catalog of 372 Arabidopsis TRs across 2.6M peaks as a result of the integration of 509 ChIP-seq and DAP-seq datasets. Second, a catalog of 33 histone modifications and variants across 4.5M peaks from the integration of 286 ChIP-seq datasets. All catalogs are made available through track hubs at Ensembl and UCSC Genome Browsers. Additionally, this update comes with a new web framework providing an interactive user-interface, including improved search features. Finally, full programmatically access to the underlying data is available using a RESTful API together with a new R Shiny interface for a TRs binding enrichment analysis tool. Oxford University Press 2020-01-08 2019-10-29 /pmc/articles/PMC7145625/ /pubmed/31665499 http://dx.doi.org/10.1093/nar/gkz945 Text en © The Author(s) 2019. 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 Non-Commercial 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
Chèneby, Jeanne
Ménétrier, Zacharie
Mestdagh, Martin
Rosnet, Thomas
Douida, Allyssa
Rhalloussi, Wassim
Bergon, Aurélie
Lopez, Fabrice
Ballester, Benoit
ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title_full ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title_fullStr ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title_full_unstemmed ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title_short ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments
title_sort remap 2020: a database of regulatory regions from an integrative analysis of human and arabidopsis dna-binding sequencing experiments
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145625/
https://www.ncbi.nlm.nih.gov/pubmed/31665499
http://dx.doi.org/10.1093/nar/gkz945
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