Core 2: Driving Biological Projects Our Center currently supports three Driving Biological Projects (DBPs) that represent a broad range of biomedical research endeavors. The DBPs provide "application pull" and serve as early adopters and evaluators of our technology's utility in enhancing their research. Their feedback is critical in defining the requirements of our technology-development activities as well as in shaping the overall thrust of our engineering efforts. The work conducted by the DBPs is coordinated with the Center's aims by Dr. Whetzel. Dr. Whetzel is in constant contact with DBP groups to learn about their requirements, to suggest how they might take better advantage of NCBO offerings, and to elicit feedback that she can bring back to our development team. The current ongoing DBPs were chosen via a widely advertised open call in the spring of 2008, and will remain as key drivers through August 2011. When the current DBPs terminate in 2011, we will initiate three new DBPs. We have already selected two of these new projects for their strategic importance to our Center, and we will use an open call to select the third new DBP that will start that year. We also propose to add a fourth DBP?the i2b2 National Center for Biomedical Computing?starting with our first year of renewed funding in 2010. Both the current DBPs and those due to start in July 2011 cover a broad spectrum of activities spanning ontology development, management, and evaluation, as well as creation of ontology-based annotations of biomedical data sources and annotation analysis for translational research.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HG004028-10
Application #
8737921
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
10
Fiscal Year
2014
Total Cost
$657,890
Indirect Cost
$58,992
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Zykovich, Artem; Hubbard, Alan; Flynn, James M et al. (2014) Genome-wide DNA methylation changes with age in disease-free human skeletal muscle. Aging Cell 13:360-6
Ghebremariam, Yohannes T; Lee, Jerry C; LePendu, Paea et al. (2014) Response to letters regarding article, "unexpected effect of proton pump inhibitors: elevation of the cardiovascular risk factor asymmetric dimethylarginine". Circulation 129:e428
Wu, Stephen T; Juhn, Young J; Sohn, Sunghwan et al. (2014) Patient-level temporal aggregation for text-based asthma status ascertainment. J Am Med Inform Assoc 21:876-84
Walls, Ramona L; Deck, John; Guralnick, Robert et al. (2014) Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies. PLoS One 9:e89606
Lopez-Garcia, Pablo; Lependu, Paea; Musen, Mark et al. (2014) Cross-domain targeted ontology subsets for annotation: the case of SNOMED CORE and RxNorm. J Biomed Inform 47:105-11
Mort, Matthew; Sterne-Weiler, Timothy; Li, Biao et al. (2014) MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing. Genome Biol 15:R19
Wass, Mark N; Mooney, Sean D; Linial, Michal et al. (2014) The automated function prediction SIG looks back at 2013 and prepares for 2014. Bioinformatics 30:2091-2
Harpaz, Rave; Callahan, Alison; Tamang, Suzanne et al. (2014) Text mining for adverse drug events: the promise, challenges, and state of the art. Drug Saf 37:777-90
Jung, Kenneth; LePendu, Paea; Chen, William S et al. (2014) Automated detection of off-label drug use. PLoS One 9:e89324
Huang, Sandy H; LePendu, Paea; Iyer, Srinivasan V et al. (2014) Toward personalizing treatment for depression: predicting diagnosis and severity. J Am Med Inform Assoc 21:1069-75

Showing the most recent 10 out of 85 publications