The Evidence and Conclusion Ontology (ECO) Supporting GO Annotations
Date
2017Journal
Methods in Molecular BiologyPublisher
Humana Press Inc.Type
Book Chapter
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The Evidence and Conclusion Ontology (ECO) is a community resource for describing the various types of evidence that are generated during the course of a scientific study and which are typically used to support assertions made by researchers. ECO describes multiple evidence types, including evidence resulting from experimental (i.e., wet lab) techniques, evidence arising from computational methods, statements made by authors (whether or not supported by evidence), and inferences drawn by researchers curating the literature. In addition to summarizing the evidence that supports a particular assertion, ECO also offers a means to document whether a computer or a human performed the process of making the annotation. Incorporating ECO into an annotation system makes it possible to leverage the structure of the ontology such that associated data can be grouped hierarchically, users can select data associated with particular evidence types, and quality control pipelines can be optimized. Today, over 30 resources, including the Gene Ontology, use the Evidence and Conclusion Ontology to represent both evidence and how annotations are made. Copyright The Author(s) 2017.Sponsors
This material is based upon work supported by the National Science Foundation under Award Number 1458400 and National Institutes of Health/National Institute of General Medical Sciences under Grant Number 2R01 GM089636. Open Access charges were funded by the University College London Library, the Swiss Institute of Bioinformatics, the Agassiz Foundation, and the Foundation for the University of Lausanne.Keyword
AnnotationBiocuration
Conclusion
Confidence
Eco
Evidence
Experiment
Inference
Literature curation
Quality control
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994519272&doi=10.1007%2f978-1-4939-3743-1_18&partnerID=40&md5=1cc0643a898ea122e1daf71200796f06; http://hdl.handle.net/10713/9987ae974a485f413a2113503eed53cd6c53
10.1007/978-1-4939-3743-1_18
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