Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO)
- Texas A & M Univ., College Station, TX (United States)
- Texas A & M Univ., College Station, TX (United States); Stanford University, Palo Alto, CA (United States)
- Texas A & M Univ., College Station, TX (United States); Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
- Univ. of Maryland Baltimore County (UMBC), Baltimore, MD (United States)
- Pennsylvania State Univ., University Park, PA (United States)
- Phoenix Bioinformatics, Newark, CA (United States)
- Otterbein University, Westerville, OH (United States)
- Univ. of California, Davis, CA (United States)
- Baylor College of Medicine, Houston, TX (United States); Michigan State Univ., East Lansing, MI (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Johns Hopkins Univ., Baltimore, MD (United States)
- MaST Community Charter School, Philadelphia, PA (United States); Drexel Univ., Philadelphia, PA (United States)
- Doane University, Crete, NE (United States)
- Iowa State Univ., Ames, IA (United States); Miami Univ., Oxford, OH (United States)
- Univ. of St. Andrews, Scotland (United Kingdom); Drexel Univ., Philadelphia, PA (United States)
- Univ. of North Texas, Denton, TX (United States)
- Virginia Commonwealth Univ., Richmond, VA (United States)
- Marian University, Fond du Lac, WI (United States); University of Wisconsin-Parkside, Kenosha, WI (United States)
- University College London (United Kingdom)
- North Hennepin Community College, Brooklyn Park, MN (United States); Minnesota State University Moorhead, Brooklyn Park, MN (United States)
- Univ. of Arizona, Tucson, AZ (United States); Mississippi State Univ., Starkville, MS (United States)
- Univ. of Central Florida, Orlando, FL (United States)
- Centenary College of Louisiana, Shreveport, LA (United States)
- Univ. of Wisconsin, Madison, WI (United States)
- Univ. of Wisconsin, Madison, WI (United States); Univ. of Wisconsin-Parkside, Kenosha, WI (United States)
- Suffolk University, Boston, MA (United States)
- North Dakota State Univ., Fargo, ND (United States)
- College of William and Mary, Williamsburg, VA (United States)
- Radford University, VA (United States)
- James Madison Univ., Harrisonburg, VA (United States)
- Univ. of Cincinnati, OH (United States)
- Houston Baptist University, TX (United States)
- Swarthmore College, PA (United States)
- Stanford Univ., CA (United States)
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (United States)
Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying gene function, especially within model organisms. Unprecedented expansion of the scientific literature and validation of the predicted proteins have increased both data value and the challenges of keeping pace. Capturing literature-based functional annotations is limited by the ability of biocurators to handle the massive and rapidly growing scientific literature. Within the community-oriented wiki framework for GO annotation called the Gene Ontology Normal Usage Tracking System (GONUTS), we describe an approach to expand biocuration through crowdsourcing with undergraduates. This multiplies the number of high-quality annotations in international databases, enriches our coverage of the literature on normal gene function, and pushes the field in new directions. From an intercollegiate competition judged by experienced biocurators, Community Assessment of Community Annotation with Ontologies (CACAO), we have contributed nearly 5,000 literature-based annotations. Many of those annotations are to organisms not currently well-represented within GO. Over a 10-year history, our community contributors have spurred changes to the ontology not traditionally covered by professional biocurators. The CACAO principle of relying on community members to participate in and shape the future of biocuration in GO is a powerful and scalable model used to promote the scientific enterprise. It also provides undergraduate students with a unique and enriching introduction to critical reading of primary literature and acquisition of marketable skills.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1833996
- Journal Information:
- PLoS Computational Biology (Online), Journal Name: PLoS Computational Biology (Online) Journal Issue: 10 Vol. 17; ISSN 1553-7358
- Publisher:
- Public Library of ScienceCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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