ECO: the Evidence and Conclusion Ontology, an update for 2022
dc.contributor.author | Nadendla, Suvarna | |
dc.contributor.author | Jackson, Rebecca | |
dc.contributor.author | Munro, James | |
dc.contributor.author | Quaglia, Federica | |
dc.contributor.author | Mészáros, Bálint | |
dc.contributor.author | Olley, Dustin | |
dc.contributor.author | Hobbs, Elizabeth T | |
dc.contributor.author | Goralski, Stephen M | |
dc.contributor.author | Chibucos, Marcus | |
dc.contributor.author | Mungall, Christopher John | |
dc.contributor.author | Tosatto, Silvio C E | |
dc.contributor.author | Erill, Ivan | |
dc.contributor.author | Giglio, Michelle G | |
dc.date.accessioned | 2022-01-04T17:34:26Z | |
dc.date.available | 2022-01-04T17:34:26Z | |
dc.date.issued | 2021-11-19 | |
dc.description.abstract | 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 com munity 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. | en_US |
dc.description.sponsorship | The ECO project wishes to gratefully acknowledge contributions from members of the Gene Ontology Consortium, several Model Organism Databases, the OBI development team, the Ontology of Microbial Phenotypes, CACAO, the Planarian Anatomy Ontology, Bgee, Foundation 29 and the many other ECO users who have made new term requests or other suggestions for ECO improvement. The success of ECO is made possible by their continued contributions to our development effort. Ontology development work in this project was conducted using the Proteg´ e resource, which is ´ supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health. National Science Foundation Division of Biological Infrastructure [1458400]; B.M. has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie [842490 to MIMIC]; F.Q. and S.T. received funding from the European Union’s Horizon 2020 research and innovation program [778247, 952334]; Italian Ministry of University and Research (MUR) PRIN 2017 [2017483NH8]; ELIXIR, the European infrastructure for biological data | en_US |
dc.description.uri | https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkab1025/6431816 | en_US |
dc.format.extent | 7 pages | en_US |
dc.genre | journal articles | en_US |
dc.identifier | doi:10.13016/m2ruyy-ol9q | |
dc.identifier.citation | Suvarna Nadendla, Rebecca Jackson, James Munro, Federica Quaglia, Bálint Mészáros, Dustin Olley, Elizabeth T Hobbs, Stephen M Goralski, Marcus Chibucos, Christopher John Mungall, Silvio C E Tosatto, Ivan Erill, Michelle G Giglio, ECO: the Evidence and Conclusion Ontology, an update for 2022, Nucleic Acids Research, 2021;, gkab1025, https://doi.org/10.1093/nar/gkab1025 | en_US |
dc.identifier.uri | https://doi.org/10.1093/nar/gkab1025 | |
dc.identifier.uri | http://hdl.handle.net/11603/23847 | |
dc.language.iso | en_US | en_US |
dc.publisher | Oxford Academic | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Biological Sciences Department Collection | |
dc.relation.ispartof | UMBC Faculty Collections | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en_US |
dc.rights | Public Domain Mark 1.0 | * |
dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | * |
dc.title | ECO: the Evidence and Conclusion Ontology, an update for 2022 | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0002-7280-7191 | en_US |