4.8 Article

RSAT 2018: regulatory sequence analysis tools 20th anniversary

期刊

NUCLEIC ACIDS RESEARCH
卷 46, 期 W1, 页码 W209-W214

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gky317

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资金

  1. French Government by RENABI-IFB program [ANR-11-INSB-0013]
  2. ANR [ANR-14-CE11-0006-02]
  3. CONACYT [269449]
  4. Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica - Universidad Nacional Autonoma de Mexico (PAPIIT-UNAM) [IA206517]
  5. SEP-CONACYT - ECOS-ANUIES
  6. Ecole Doctorale des Sciences de la Vie et de la Sante
  7. Aix-Marseille Universite
  8. Norwegian Research Council [187615]
  9. Helse Sor-Ost
  10. University of Oslo through the Centre for Molecular Medicine Norway (NCMM)
  11. Spanish MINECO [AGL2016-80967-R]
  12. Aix-Marseille Universite as Chercheur Invite
  13. Wellcome Trust Seed Award [204562/Z/16/Z]
  14. PAPIIT-UNAM grant [IA200318]
  15. CONACYT
  16. Agence Nationale de la Recherche
  17. Wellcome Trust [204562/Z/16/Z] Funding Source: Wellcome Trust

向作者/读者索取更多资源

RSAT (Regulatory Sequence Analysis Tools) is a suite ofmodular 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/ATACseq, (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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