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

被引：28

作者：

Nadendla, Suvarna ^{[1
]}

Jackson, Rebecca ^{[1
]}

Munro, James ^{[1
]}

Quaglia, Federica ^{[2
,3
]}

Meszaros, Balint ^{[4
]}

Olley, Dustin ^{[1
]}

Hobbs, Elizabeth T. ^{[5
]}

Goralski, Stephen M. ^{[5
]}

Chibucos, Marcus ^{[1
]}

Mungall, Christopher John ^{[6
]}

Tosatto, Silvio C. E. ^{[3
]}

Erill, Ivan ^{[5
]}

Giglio, Michelle G. ^{[1
]}

机构：

[1] Univ Maryland, Sch Med, Inst Genome Sci, Baltimore, MD 21201 USA

[2] Natl Res Council CNR IBIOM, Inst Biomembranes Bioenerget & Mol Biotechnol, Bari, Italy

[3] Univ Padua, Dept Biomed Sci, Padua, Italy

[4] European Mol Biol Lab, Struct & Computat Biol Unit, D-69117 Heidelberg, Germany

[5] Univ Maryland Baltimore Cty, Dept Biol Sci, Baltimore, MD 21228 USA

[6] Lawrence Berkeley Natl Lab, Div Environm Genom & Syst Biol, Berkeley, CA USA

来源：

NUCLEIC ACIDS RESEARCH | 2022年 / 50卷 / D1期

基金：

美国国家科学基金会;

关键词：

INTRINSICALLY UNSTRUCTURED PROTEINS; DATABASE;

D O I：

10.1093/nar/gkab1025

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：D1515 / D1521

页数：7

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