Back to Search Start Over

Standardized description of scientific evidence using the Evidence Ontology (ECO)

Authors :
Rama Balakrishnan
Owen White
Rachael P. Huntley
Christopher J. Mungall
Marcus C. Chibucos
Michelle G. Giglio
Judith A. Blake
Karen R. Christie
Suzanna E. Lewis
Source :
Database: The Journal of Biological Databases and Curation
Publication Year :
2014

Abstract

The Evidence Ontology (ECO) is a structured, controlled vocabulary for capturing evidence in biological research. ECO includes diverse terms for categorizing evidence that supports annotation assertions including experimental types, computational methods, author statements and curator inferences. Using ECO, annotation assertions can be distinguished according to the evidence they are based on such as those made by curators versus those automatically computed or those made via high-throughput data review versus single test experiments. Originally created for capturing evidence associated with Gene Ontology annotations, ECO is now used in other capacities by many additional annotation resources including UniProt, Mouse Genome Informatics, Saccharomyces Genome Database, PomBase, the Protein Information Resource and others. Information on the development and use of ECO can be found at http://evidenceontology.org. The ontology is freely available under Creative Commons license (CC BY-SA 3.0), and can be downloaded in both Open Biological Ontologies and Web Ontology Language formats at http://code.google.com/p/evidenceontology. Also at this site is a tracker for user submission of term requests and questions. ECO remains under active development in response to user-requested terms and in collaborations with other ontologies and database resources. Database URL: Evidence Ontology Web site: http://evidenceontology.org.

Details

ISSN :
17580463
Volume :
2014
Database :
OpenAIRE
Journal :
Database : the journal of biological databases and curation
Accession number :
edsair.doi.dedup.....95ae68e666226f0edff43910deb5512e