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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.
Affiliation
  • Santana-Garcia W; Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
  • Castro-Mondragon JA; Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318 Oslo, Norway.
  • Padilla-Gálvez M; Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Blvd Juriquilla 3001, 76230 Santiago de Querétaro, México.
  • Nguyen NTT; Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
  • Elizondo-Salas A; Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Blvd Juriquilla 3001, 76230 Santiago de Querétaro, México.
  • Ksouri N; Estación Experimental de Aula Dei-CSIC, 50059 Zaragoza, Spain.
  • Gerbes F; CNRS, Institut Français de Bioinformatique, IFB-core, UMS 3601, Evry, France.
  • Thieffry D; Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
  • Vincens P; Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
  • Contreras-Moreira B; Estación Experimental de Aula Dei-CSIC, 50059 Zaragoza, Spain.
  • van Helden J; CNRS, Institut Français de Bioinformatique, IFB-core, UMS 3601, Evry, France.
  • Thomas-Chollier M; Aix-Marseille Univ, INSERM UMR_S 1090, Lab Theory and Approaches of Genome Complexity (TAGC), F-13288 Marseille, France.
  • Medina-Rivera A; Institut de biologie de l'Ecole normale supérieure (IBENS), Ecole normale supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.
Nucleic Acids Res ; 50(W1): W670-W676, 2022 07 05.
Article in En | MEDLINE | ID: mdl-35544234
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/.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Genomics Limits: Animals Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: France Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Genomics Limits: Animals Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: France Country of publication: United kingdom