standards > terminology artifact > DOI:10.25504/FAIRsharing.5744rq


ready Sample processing and separations controlled vocabulary

Abbreviation: sepCV


General Information
The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).

Homepage http://www.psidev.info/sepcv

Developed in European Union , United Kingdom , United States

Created in 2008

Taxonomic range







How to cite this record FAIRsharing.org: sepCV; Sample processing and separations controlled vocabulary; DOI: https://doi.org/10.25504/FAIRsharing.5744rq; Last edited: Feb. 22, 2018, 2 p.m.; Last accessed: Nov 20 2018 10:35 p.m.


This record is maintained by HUPO PSI  (HUPOPSI)

Record updated: Feb. 28, 2017, 2:41 p.m. by The FAIRsharing Team.

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OBO Foundry
HUPO Proteomics Standards Initiative


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Bioportal http://bioportal.bioontology.org/ontologies/SEP
OBO http://obofoundry.org/ontology/sep.html

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The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.

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