RSAT 2022: Regulatory Sequence Analysis Tools

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2022 May 11

PMID 35544234

Authors

Walter Santana-Garcia

Jaime A Castro-Mondragon

Monica Padilla-Galvez

Nga Thi Thuy Nguyen

Ana Elizondo-Salas

Najla Ksouri

Francois Gerbes

Denis Thieffry

Pierre Vincens

Bruno Contreras-Moreira

Jacques van Helden

Morgane Thomas-Chollier

Alejandra Medina-Rivera

Affiliations

Soon will be listed here.

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/.

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