The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations
| Autor: | Suzanna E. Lewis, Gemma L. Holliday, Frederic B. Bastian, Sylvain Poux, Sandra Orchard, Nives Škunca, Pascale Gaudet, Michelle G. Giglio, Anne Niknejad, Marc Robinson-Rechavi, Marcus C. Chibucos, Hong Huang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Information retrieval
Standardization Data curation Computer science MEDLINE Cornerstone Biological Ontologies Ontology (information science) Congresses as Topic General Biochemistry Genetics and Molecular Biology Data Curation/standards Credibility Original Article ddc:576 General Agricultural and Biological Sciences Reliability (statistics) Data Curation Information Systems |
| Zdroj: | Database, vol. 2015, pp. bav043 Database: The Journal of Biological Databases and Curation Database, Vol. 2015 (2015) P. bav043 Database, 2015 |
| ISSN: | 1758-0463 |
| Popis: | Biocuration has become a cornerstone for analyses in biology, and to meet needs, the amount of annotations has considerably grown in recent years. However, the reliability of these annotations varies; it has thus become necessary to be able to assess the confidence in annotations. Although several resources already provide confidence information about the annotations that they produce, a standard way of providing such information has yet to be defined. This lack of standardization undermines the propagation of knowledge across resources, as well as the credibility of results from high-throughput analyses. Seeded at a workshop during the Biocuration 2012 conference, a working group has been created to address this problem. We present here the elements that were identified as essential for assessing confidence in annotations, as well as a draft ontology—the Confidence Information Ontology—to illustrate how the problems identified could be addressed. We hope that this effort will provide a home for discussing this major issue among the biocuration community. Database, 2015 ISSN:1758-0463 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|