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ECO: the Evidence and Conclusion Ontology, an update for 2022

Journal Article · · Nucleic Acids Research
DOI:https://doi.org/10.1093/nar/gkab1025· OSTI ID:1894059
 [1];  [1];  [1];  [2];  [3];  [1];  [1];  [1];  [1];  [4];  [5];  [1];  [1]
  1. Univ. of Maryland, Baltimore, MD (United States)
  2. National Research Council (CNR), Bari (Italy); Univ. of Padua (Italy)
  3. European Molecular Biology Lab. (EMBL), Heidelberg (Germany)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  5. Univ. of Padua (Italy)
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The Evidence and Conclusion Ontology (ECO) is a community resource that provides an ontology of terms used to capture the type of evidence that supports biomedical annotations and assertions. Consistent capture of evidence information with ECO allows tracking of annotation provenance, establishment of quality control measures, and evidence-based data mining. ECO is in use by dozens of data repositories and resources with both specific and general areas of focus. ECO is continually being expanded and enhanced in response to user requests as well as our aim to adhere to community best-practices for ontology development. The ECO support team engages in multiple collaborations with other ontologies and annotating groups. Here we report on recent updates to the ECO ontology itself as well as associated resources that are available through this project. ECO project products are freely available for download from the project website (https://evidenceontology.org/) and GitHub (https://github.com/evidenceontology/evidenceontology). ECO is released into the public domain under a CC0 1.0 Universal license.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
European Union (EU); Italian Ministry of University and Research; National Institutes of Health (NIH); National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1894059
Journal Information:
Nucleic Acids Research, Journal Name: Nucleic Acids Research Journal Issue: D1 Vol. 50; ISSN 0305-1048
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United States
Language:
English

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Additional file 1 of Proteomic analysis implicates that postovulatory aging leads to aberrant gene expression, biosynthesis, RNA metabolism and cell cycle in mouse oocytes dataset January 2022

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