Evidence map›Paper›PMID 31081335›Full record

ArticleJournal of proteome research2019

Proteomics Standards Initiative Extended FASTA Format.

Pierre-Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno, Harald Barsnes, Robert J Chalkley, Gerben Menschaert, Emanuele Alpi, Karl Clauser, Jimmy K Eng, Lydie Lane and 11 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
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  18. Article
  19. Assessing Protein Sequence Database Suitability UsingMolecular & cellular proteomics : MCP · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Pierre-Alain BinzCHUV Centre Hospitalier Universitaire Vaudois , CH-1011 Lausanne 14 , Switzerland.
Jim ShofstahlThermo Fisher Scientific , 355 River Oaks Parkway , San Jose , California 95134 , United States.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Harald BarsnesProteomics Unit, Department of Biomedicine , University of Bergen , N-5009 Bergen , Norway.
Robert J ChalkleyUniversity California at San Francisco , San Francisco , California 94143 , United States.
Gerben MenschaertBiobix, Department of Data Analysis and Mathematical Modelling , Ghent University , 9000 Ghent , Belgium.
Emanuele AlpiEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.ORCID 0000-0003-4822-9472
Karl ClauserBroad Institute , Cambridge , Massachusetts 02142 , United States.
Jimmy K EngUniversity of Washington , Seattle , Washington 98195 , United States.
Lydie LaneSIB Swiss Institute of Bioinformatics , CH-1211 Geneva 4 , Switzerland.ORCID 0000-0002-9818-3030
Sean L SeymourSeymour Data Science, LLC , San Francisco , California 95000 , United States.
Luis Francisco Hernández SánchezK.G. Jebsen Center for Diabetes Research, Department of Clinical Science , University of Bergen , 5021 Bergen , Norway.
Gerhard MayerMedical Faculty, Medizinisches Proteom-Center , Ruhr University Bochum , D-44801 Bochum , Germany.
Martin EisenacherMedical Faculty, Medizinisches Proteom-Center , Ruhr University Bochum , D-44801 Bochum , Germany.ORCID 0000-0003-2687-7444
Yasset Perez-RiverolEuropean Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , United Kingdom.
Eugene A KappWalter & Eliza Hall Institute of Medical Research and the University of Melbourne , Melbourne , VIC 3052 , Australia.
Luis MendozaInstitute for Systems Biology , Seattle , Washington 98109 , United States.ORCID 0000-0003-0128-8643
Peter R BakerUniversity California at San Francisco , San Francisco , California 94143 , United States.
Andrew CollinsDepartment of Functional and Comparative Genomics, Institute of Integrated Biology , University of Liverpool , Liverpool L69 7ZB , United Kingdom.ORCID 0000-0003-0507-6912
Tim Van Den BosscheVIB-UGent Center for Medical Biotechnology , Ghent University , 9000 Ghent , Belgium.ORCID 0000-0002-5916-2587
Eric W DeutschInstitute for Systems Biology , Seattle , Washington 98109 , United States.ORCID 0000-0001-8732-0928

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI JODI A LAPIDUS · 2004 to 2026
$102.6M
UniProt - Text Mining and Large Language models to Enhance Functional Annotation in UniProt of Protein Variants Associated with Alzheimer's DiseaseU24HG007822 · NHGRI · GEORGETOWN UNIVERSITY · PI Alex Bateman, Alan James Bridge · 2018 to 2026
$53.0M
UniProt: A centralized protein sequence and function resourceU41HG007822 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BATEMAN, ALEX · 2014 to 2017
$21.9M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
NHGRI NIH HHS U24 HG007822NHGRI NIH HHS U41 HG007822NIA NIH HHS U19 AG023122NIBIB NIH HHS U54 EB020406NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667Wellcome Trust
6 · The paper itself

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 .

Indexed as

HumansInformation Storage and RetrievalMass SpectrometryProteomicsSoftwareFASTAfile formatsmass spectrometryPEFFproteogenomicsproteomicsProteomics Standards InitiativePSIstandards

Identifiers

PMID31081335
PMCPMC6642660

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.