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Proteomics Standards Initiative Extended FASTA Format.
Binz, Pierre-Alain; Shofstahl, Jim; Vizcaíno, Juan Antonio; Barsnes, Harald; Chalkley, Robert J; Menschaert, Gerben; Alpi, Emanuele; Clauser, Karl; Eng, Jimmy K; Lane, Lydie; Seymour, Sean L; Sánchez, Luis Francisco Hernández; Mayer, Gerhard; Eisenacher, Martin; Perez-Riverol, Yasset; Kapp, Eugene A; Mendoza, Luis; Baker, Peter R; Collins, Andrew; Van Den Bossche, Tim; Deutsch, Eric W.
Afiliação
  • Binz PA; CHUV Centre Hospitalier Universitaire Vaudois , CH-1011 Lausanne 14 , Switzerland.
  • Shofstahl J; Thermo Fisher Scientific , 355 River Oaks Parkway , San Jose , California 95134 , United States.
  • Vizcaíno JA; European Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
  • Barsnes H; Proteomics Unit, Department of Biomedicine , University of Bergen , N-5009 Bergen , Norway.
  • Chalkley RJ; Computational Biology Unit, Department of Informatics , University of Bergen , N-5008 Bergen , Norway.
  • Menschaert G; University California at San Francisco , San Francisco , California 94143 , United States.
  • Alpi E; Biobix, Department of Data Analysis and Mathematical Modelling , Ghent University , 9000 Ghent , Belgium.
  • Clauser K; European Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
  • Eng JK; Broad Institute , Cambridge , Massachusetts 02142 , United States.
  • Lane L; University of Washington , Seattle , Washington 98195 , United States.
  • Seymour SL; SIB Swiss Institute of Bioinformatics , CH-1211 Geneva 4 , Switzerland.
  • Sánchez LFH; Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , CH-1211 Geneva 4 , Switzerland.
  • Mayer G; Seymour Data Science, LLC , San Francisco , California 95000 , United States.
  • Eisenacher M; K.G. Jebsen Center for Diabetes Research, Department of Clinical Science , University of Bergen , 5021 Bergen , Norway.
  • Perez-Riverol Y; Center for Medical Genetics and Molecular Medicine , Haukeland University Hospital , 5021 Bergen , Norway.
  • Kapp EA; Medical Faculty, Medizinisches Proteom-Center , Ruhr University Bochum , D-44801 Bochum , Germany.
  • Mendoza L; Medical Faculty, Medizinisches Proteom-Center , Ruhr University Bochum , D-44801 Bochum , Germany.
  • Baker PR; European Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
  • Collins A; Walter & Eliza Hall Institute of Medical Research and the University of Melbourne , Melbourne , VIC 3052 , Australia.
  • Van Den Bossche T; Institute for Systems Biology , Seattle , Washington 98109 , United States.
  • Deutsch EW; University California at San Francisco , San Francisco , California 94143 , United States.
J Proteome Res ; 18(6): 2686-2692, 2019 06 07.
Article em En | MEDLINE | ID: mdl-31081335
ABSTRACT
Mass-spectrometry-based proteomics enables the high-throughput identification and quantification of proteins, including sequence variants and post-translational modifications (PTMs) in biological samples. However, most workflows require that such variations be included in the search space used to analyze the data, and doing so remains challenging with most analysis tools. In order to facilitate the search for known sequence variants and PTMs, the Proteomics Standards Initiative (PSI) has designed and implemented the PSI extended FASTA format (PEFF). PEFF is based on the very popular FASTA format but adds a uniform mechanism for encoding substantially more metadata about the sequence collection as well as individual entries, including support for encoding known sequence variants, PTMs, and proteoforms. The format is very nearly backward compatible, and as such, existing FASTA parsers will require little or no changes to be able to read PEFF files as FASTA files, although without supporting any of the extra capabilities of PEFF. PEFF is defined by a full specification document, controlled vocabulary terms, a set of example files, software libraries, and a file validator. Popular software and resources are starting to support PEFF, including the sequence search engine Comet and the knowledge bases neXtProt and UniProtKB. Widespread implementation of PEFF is expected to further enable proteogenomics and top-down proteomics applications by providing a standardized mechanism for encoding protein sequences and their known variations. All the related documentation, including the detailed file format specification and example files, are available at http//www.psidev.info/peff .
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article