The institutions comprising the NCBO have a long tradition of training tomorrow's investigators. Stanford University has had more than 25 years of continual support from the National Library of Medicine for its training program in biomedical informatics and is widely recognized as providing a model for graduate education in this discipline. The Mayo Clinic, the University at Buffalo, and the University of Victoria all have long and distinguished track records in training students and postdoctoral fellows in disciplines related to our Center's work. The NCBO will collaborate with these existing programs to advance training in biomedical ontology as it applies to practical problems in biomedicine. As a national center, we also seek to improve ontology training across the biomedical research community. Taken together, our Education and Training activities will create an interactive community of graduate students, post-doctoral fellows, visiting scholars, and other scientists who understand the critical role of biomedical ontology and are positioned to communicate that role to the larger biomedical research community.

National Institute of Health (NIH)
National Human Genome Research Institute (NHGRI)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZRG1-BST-K)
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Stanford University
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Jung, Kenneth; Covington, Scott; Sen, Chandan K et al. (2016) Rapid identification of slow healing wounds. Wound Repair Regen 24:181-8
Low, Yen Sia; Gallego, Blanca; Shah, Nigam Haresh (2016) Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records. J Comp Eff Res 5:179-92
Scudamore, Cheryl L; Soilleux, Elizabeth J; Karp, Natasha A et al. (2016) Recommendations for minimum information for publication of experimental pathology data: MINPEPA guidelines. J Pathol 238:359-67
Petryszak, Robert; Keays, Maria; Tang, Y Amy et al. (2016) Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants. Nucleic Acids Res 44:D746-52
Malone, James; Stevens, Robert; Jupp, Simon et al. (2016) Ten Simple Rules for Selecting a Bio-ontology. PLoS Comput Biol 12:e1004743
Gaskin, Gregory L; Pershing, Suzann; Cole, Tyler S et al. (2016) Predictive modeling of risk factors and complications of cataract surgery. Eur J Ophthalmol 26:328-37
Jupp, Simon; Burdett, Tony; Welter, Danielle et al. (2016) Webulous and the Webulous Google Add-On--a web service and application for ontology building from templates. J Biomed Semantics 7:17
Mortensen, Jonathan M; Telis, Natalie; Hughey, Jacob J et al. (2016) Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology. J Biomed Inform 60:199-209
Banda, Juan M; Callahan, Alison; Winnenburg, Rainer et al. (2016) Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records. Drug Saf 39:45-57
Nead, Kevin T; Gaskin, Greg; Chester, Cariad et al. (2016) Androgen Deprivation Therapy and Future Alzheimer's Disease Risk. J Clin Oncol 34:566-71

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