RSAT 2022: regulatory sequence analysis tools. Issue Volume 50:Issue W1(2022) (11th May 2022)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Nucleic acids research. Volume 50:Issue W1(2022)
• Page Start: W670
• Page End: W676
• Publication Date: 2022-05-11
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac312
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: 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/ . Graphical Abstract: