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RSAT 2022: regulatory sequence analysis tools

RSAT (Regulatory Sequence Analysis Tools) enables the detection and the analysis of cis-regulatory elements in genomic sequences. This software suite performs (i) de novo motif discovery (including from genome-wide datasets like ChIP-seq/ATAC-seq) (ii) genomic sequences scanning with known motifs, (...

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Autores principales: Santana-Garcia, Walter, Castro-Mondragon, Jaime A, Padilla-Gálvez, Mónica, Nguyen, Nga Thi Thuy, Elizondo-Salas, Ana, Ksouri, Najla, Gerbes, François, Thieffry, Denis, Vincens, Pierre, Contreras-Moreira, Bruno, van Helden, Jacques, Thomas-Chollier, Morgane, Medina-Rivera, Alejandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252783/
https://www.ncbi.nlm.nih.gov/pubmed/35544234
http://dx.doi.org/10.1093/nar/gkac312
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author Santana-Garcia, Walter
Castro-Mondragon, Jaime A
Padilla-Gálvez, Mónica
Nguyen, Nga Thi Thuy
Elizondo-Salas, Ana
Ksouri, Najla
Gerbes, François
Thieffry, Denis
Vincens, Pierre
Contreras-Moreira, Bruno
van Helden, Jacques
Thomas-Chollier, Morgane
Medina-Rivera, Alejandra
author_facet Santana-Garcia, Walter
Castro-Mondragon, Jaime A
Padilla-Gálvez, Mónica
Nguyen, Nga Thi Thuy
Elizondo-Salas, Ana
Ksouri, Najla
Gerbes, François
Thieffry, Denis
Vincens, Pierre
Contreras-Moreira, Bruno
van Helden, Jacques
Thomas-Chollier, Morgane
Medina-Rivera, Alejandra
author_sort Santana-Garcia, Walter
collection PubMed
description RSAT (Regulatory Sequence Analysis Tools) enables the detection and the analysis of cis-regulatory elements in genomic sequences. This software suite performs (i) de novo motif discovery (including from genome-wide datasets like ChIP-seq/ATAC-seq) (ii) genomic sequences scanning with known motifs, (iii) motif analysis (quality assessment, comparisons and clustering), (iv) analysis of regulatory variations and (v) comparative genomics. RSAT comprises 50 tools. Six public Web servers (including a teaching server) are offered to meet the needs of different biological communities. RSAT philosophy and originality are: (i) a multi-modal access depending on the user needs, through web forms, command-line for local installation and programmatic web services, (ii) a support for virtually any genome (animals, bacteria, plants, totalizing over 10 000 genomes directly accessible). Since the 2018 NAR Web Software Issue, we have developed a large REST API, extended the support for additional genomes and external motif collections, enhanced some tools and Web forms, and developed a novel tool that builds or refine gene regulatory networks using motif scanning (network-interactions). The RSAT website provides extensive documentation, tutorials and published protocols. RSAT code is under open-source license and now hosted in GitHub. RSAT is available at http://www.rsat.eu/.
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spelling pubmed-92527832022-07-05 RSAT 2022: regulatory sequence analysis tools Santana-Garcia, Walter Castro-Mondragon, Jaime A Padilla-Gálvez, Mónica Nguyen, Nga Thi Thuy Elizondo-Salas, Ana Ksouri, Najla Gerbes, François Thieffry, Denis Vincens, Pierre Contreras-Moreira, Bruno van Helden, Jacques Thomas-Chollier, Morgane Medina-Rivera, Alejandra Nucleic Acids Res Web Server Issue RSAT (Regulatory Sequence Analysis Tools) enables the detection and the analysis of cis-regulatory elements in genomic sequences. This software suite performs (i) de novo motif discovery (including from genome-wide datasets like ChIP-seq/ATAC-seq) (ii) genomic sequences scanning with known motifs, (iii) motif analysis (quality assessment, comparisons and clustering), (iv) analysis of regulatory variations and (v) comparative genomics. RSAT comprises 50 tools. Six public Web servers (including a teaching server) are offered to meet the needs of different biological communities. RSAT philosophy and originality are: (i) a multi-modal access depending on the user needs, through web forms, command-line for local installation and programmatic web services, (ii) a support for virtually any genome (animals, bacteria, plants, totalizing over 10 000 genomes directly accessible). Since the 2018 NAR Web Software Issue, we have developed a large REST API, extended the support for additional genomes and external motif collections, enhanced some tools and Web forms, and developed a novel tool that builds or refine gene regulatory networks using motif scanning (network-interactions). The RSAT website provides extensive documentation, tutorials and published protocols. RSAT code is under open-source license and now hosted in GitHub. RSAT is available at http://www.rsat.eu/. Oxford University Press 2022-05-11 /pmc/articles/PMC9252783/ /pubmed/35544234 http://dx.doi.org/10.1093/nar/gkac312 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Santana-Garcia, Walter
Castro-Mondragon, Jaime A
Padilla-Gálvez, Mónica
Nguyen, Nga Thi Thuy
Elizondo-Salas, Ana
Ksouri, Najla
Gerbes, François
Thieffry, Denis
Vincens, Pierre
Contreras-Moreira, Bruno
van Helden, Jacques
Thomas-Chollier, Morgane
Medina-Rivera, Alejandra
RSAT 2022: regulatory sequence analysis tools
title RSAT 2022: regulatory sequence analysis tools
title_full RSAT 2022: regulatory sequence analysis tools
title_fullStr RSAT 2022: regulatory sequence analysis tools
title_full_unstemmed RSAT 2022: regulatory sequence analysis tools
title_short RSAT 2022: regulatory sequence analysis tools
title_sort rsat 2022: regulatory sequence analysis tools
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252783/
https://www.ncbi.nlm.nih.gov/pubmed/35544234
http://dx.doi.org/10.1093/nar/gkac312
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