The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary

Gerhard Mayer(University of Liverpool), Luisa Montecchi‐Palazzi(University of Liverpool), David Ovelleiro(Institute for Systems Biology), Andrew R. Jones(European Bioinformatics Institute), Pierre‐Alain Binz(SIB Swiss Institute of Bioinformatics), Eric W. Deutsch(European Bioinformatics Institute), Matthew Chambers(University of Liverpool), M. Kallhardt(European Bioinformatics Institute), Fredrik Levander(European Bioinformatics Institute), Jim Shofstahl(Wellcome Trust), Sandra Orchard(Institute for Systems Biology), Juan Antonio Vizcaíno(Wellcome Trust), Henning Hermjakob(Wellcome Trust), Christoph Stephan(Wellcome Trust), Helmut E. Meyer(Institute for Systems Biology), Martin Eisenacher(SIB Swiss Institute of Bioinformatics), on behalf of the HUPO-PSI Group
Database
March 12, 2013
Cited by 104Open Access
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Abstract

Controlled vocabularies (CVs), i.e. a collection of predefined terms describing a modeling domain, used for the semantic annotation of data, and ontologies are used in structured data formats and databases to avoid inconsistencies in annotation, to have a unique (and preferably short) accession number and to give researchers and computer algorithms the possibility for more expressive semantic annotation of data. The Human Proteome Organization (HUPO)-Proteomics Standards Initiative (PSI) makes extensive use of ontologies/CVs in their data formats. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS-related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary. In this article, we describe the overall structure of the CV, the process by which it has been developed and is maintained and the dependencies on other ontologies. Database URL: http://psidev.cvs.sourceforge.net/viewvc/psidev/psi/psi-ms/mzML/controlledVocabulary/psi-ms.obo.


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