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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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/.
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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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