Genomic and other high throughput technologies in the biomedical sciences are generating overwhelming amounts of data that must be processed, analyzed, and interpreted. These massive amounts of data have created a critical need for theoretical, algorithmic, software, and hardware advances in storing, retrieving, networking, processing, modeling, visualizing, and interpreting biological and medical information. These needs continue to inspire new concepts in computer science, such as genetic algorithms, neural networks, computer viruses, and DMA computing methods. Because of these developments, computer science applications in the fields of biology and medicine showcase the latest advances in core computer science from hardware to software, from algorithms to databases, and from theory to user interfaces. This cross fertilization has enriched both fields and will continue to do so in the coming decades. To continue to meet these challenges, the UCI Biomedical Informatics Training (BIT) Program trains graduate students and postdoctoral fellows at the interface of the life and computational sciences for professional careers in bioinformatics and computational biology. The BIT Program, administered by the UCI Institute for Genomics and Bioinformatics, integrates a first year Mathematical and Computational Biology Gateway Program with biomedical informatics training programs in the UCI Schools of Biological and Physical Sciences, Engineering, Medicine, and Information and Computer Sciences. This Program emphasizes interdisciplinary teamwork using a dual mentor approach involving interdisciplinary thesis research projects. Required core courses in mathematics, statistics, and computer science provide students with the computational tools required to address complex biological questions. Regular faculty/trainee meetings, quarterly reviews, and an annual mini-symposium of student projects stimulate interaction, inform faculty of progress, and foster group cohesion as well as interdisciplinary exchange of information among trainees. In summary, the BIT Program is producing a critically-needed generation of world class scholars who will develop new bionformatics and computational biology tools to solve fundamental problems in biology and medicine for the improvement of human health.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
5T15LM007443-10
Application #
8092730
Study Section
Special Emphasis Panel (ZLM1-AP-T (O1))
Program Officer
Florance, Valerie
Project Start
2002-07-01
Project End
2014-03-31
Budget Start
2011-07-01
Budget End
2014-03-31
Support Year
10
Fiscal Year
2011
Total Cost
$694,958
Indirect Cost
Name
University of California Irvine
Department
Type
Other Domestic Higher Education
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Cinquin, Amanda; Chiang, Michael; Paz, Adrian et al. (2016) Intermittent Stem Cell Cycling Balances Self-Renewal and Senescence of the C. elegans Germ Line. PLoS Genet 12:e1005985
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Chiang, Michael; Cinquin, Amanda; Paz, Adrian et al. (2015) Control of Caenorhabditis elegans germ-line stem-cell cycling speed meets requirements of design to minimize mutation accumulation. BMC Biol 13:51
Reyes de Mochel, Nabora Soledad; Luong, Mui; Chiang, Michael et al. (2015) BMP signaling is required for cell cleavage in preimplantation-mouse embryos. Dev Biol 397:45-55
Guan, Zhiyun; Liu, Haoping (2015) Overlapping Functions between SWR1 Deletion and H3K56 Acetylation in Candida albicans. Eukaryot Cell 14:578-87

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