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RSAT 2018: regulatory sequence analysis tools 20th anniversary
RSAT (Regulatory Sequence Analysis Tools) is a suite of modular tools for the detection and the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, including from genome-wide datasets like ChIP-seq/ATAC-seq, (ii) motif scanning, (iii) motif analysi...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030903/ https://www.ncbi.nlm.nih.gov/pubmed/29722874 http://dx.doi.org/10.1093/nar/gky317 |
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author | Nguyen, Nga Thi Thuy Contreras-Moreira, Bruno Castro-Mondragon, Jaime A Santana-Garcia, Walter Ossio, Raul Robles-Espinoza, Carla Daniela Bahin, Mathieu Collombet, Samuel Vincens, Pierre Thieffry, Denis van Helden, Jacques Medina-Rivera, Alejandra Thomas-Chollier, Morgane |
author_facet | Nguyen, Nga Thi Thuy Contreras-Moreira, Bruno Castro-Mondragon, Jaime A Santana-Garcia, Walter Ossio, Raul Robles-Espinoza, Carla Daniela Bahin, Mathieu Collombet, Samuel Vincens, Pierre Thieffry, Denis van Helden, Jacques Medina-Rivera, Alejandra Thomas-Chollier, Morgane |
author_sort | Nguyen, Nga Thi Thuy |
collection | PubMed |
description | RSAT (Regulatory Sequence Analysis Tools) is a suite of modular tools for the detection and the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, including from genome-wide datasets like ChIP-seq/ATAC-seq, (ii) motif scanning, (iii) motif analysis (quality assessment, comparisons and clustering), (iv) analysis of regulatory variations, (v) comparative genomics. Six public servers jointly support 10 000 genomes from all kingdoms. Six novel or refactored programs have been added since the 2015 NAR Web Software Issue, including updated programs to analyse regulatory variants (retrieve-variation-seq, variation-scan, convert-variations), along with tools to extract sequences from a list of coordinates (retrieve-seq-bed), to select motifs from motif collections (retrieve-matrix), and to extract orthologs based on Ensembl Compara (get-orthologs-compara). Three use cases illustrate the integration of new and refactored tools to the suite. This Anniversary update gives a 20-year perspective on the software suite. RSAT is well-documented and available through Web sites, SOAP/WSDL (Simple Object Access Protocol/Web Services Description Language) web services, virtual machines and stand-alone programs at http://www.rsat.eu/. |
format | Online Article Text |
id | pubmed-6030903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60309032018-07-10 RSAT 2018: regulatory sequence analysis tools 20th anniversary Nguyen, Nga Thi Thuy Contreras-Moreira, Bruno Castro-Mondragon, Jaime A Santana-Garcia, Walter Ossio, Raul Robles-Espinoza, Carla Daniela Bahin, Mathieu Collombet, Samuel Vincens, Pierre Thieffry, Denis van Helden, Jacques Medina-Rivera, Alejandra Thomas-Chollier, Morgane Nucleic Acids Res Web Server Issue RSAT (Regulatory Sequence Analysis Tools) is a suite of modular tools for the detection and the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, including from genome-wide datasets like ChIP-seq/ATAC-seq, (ii) motif scanning, (iii) motif analysis (quality assessment, comparisons and clustering), (iv) analysis of regulatory variations, (v) comparative genomics. Six public servers jointly support 10 000 genomes from all kingdoms. Six novel or refactored programs have been added since the 2015 NAR Web Software Issue, including updated programs to analyse regulatory variants (retrieve-variation-seq, variation-scan, convert-variations), along with tools to extract sequences from a list of coordinates (retrieve-seq-bed), to select motifs from motif collections (retrieve-matrix), and to extract orthologs based on Ensembl Compara (get-orthologs-compara). Three use cases illustrate the integration of new and refactored tools to the suite. This Anniversary update gives a 20-year perspective on the software suite. RSAT is well-documented and available through Web sites, SOAP/WSDL (Simple Object Access Protocol/Web Services Description Language) web services, virtual machines and stand-alone programs at http://www.rsat.eu/. Oxford University Press 2018-07-02 2018-05-02 /pmc/articles/PMC6030903/ /pubmed/29722874 http://dx.doi.org/10.1093/nar/gky317 Text en © The Author(s) 2018. 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 | Web Server Issue Nguyen, Nga Thi Thuy Contreras-Moreira, Bruno Castro-Mondragon, Jaime A Santana-Garcia, Walter Ossio, Raul Robles-Espinoza, Carla Daniela Bahin, Mathieu Collombet, Samuel Vincens, Pierre Thieffry, Denis van Helden, Jacques Medina-Rivera, Alejandra Thomas-Chollier, Morgane RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title | RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title_full | RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title_fullStr | RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title_full_unstemmed | RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title_short | RSAT 2018: regulatory sequence analysis tools 20th anniversary |
title_sort | rsat 2018: regulatory sequence analysis tools 20th anniversary |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030903/ https://www.ncbi.nlm.nih.gov/pubmed/29722874 http://dx.doi.org/10.1093/nar/gky317 |
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