With the advent of the genomic era, the study of biology has been transformed, allowing questions to be asked across the breadth many genomes or the entire developmental span of an organism's lifetime. As answers begin to come available, the list of """"""""genomics-driven"""""""" questions continues to lengthen, ranging from how best to leverage the knowledge from high resolution structural studies into methods for treating human disease to how to associate an abnormal phenotype with a specific protein product. Effective access to the enormous amounts of data now available from both the genome projects and the large-scale, """"""""high-throughput"""""""" experimental environment they have seeded is absolutely dependent on computational storage, annotation and analysis. The relatively new field of Bioinformatics provides those capabilities by coupling computational theory and tools with the biological insight required to turn these data into information and knowledge. The proposed Predoctoral Training in Bioinformatics and Computational Biology describes a multidisciplinary graduate training program focused on the interface of computer science/mathematics and biology and addresses what has become a critical deficit in graduate training. At UCSF, this training is sited in a Program in Biological and Medical Informatics, targeting a faculty and student body concerned with computational analysis of both the biological questions and the healthcare environment into which their must be translated. Bioinformatics training in this program is simultaneously founded on the application of quantitative methods to basic biological questions. As part of the umbrella Program in Quantitative Biology, Bioinformatics training at UCSF partakes of a multidisciplinary and collaborative environment that includes the study of biology, biophysics, and chemistry from the molecular to the complex systems level. Centered in an institution with on-going commitments to excellence in research and teaching and to innovation at every level of biological inquiry, we believe that our training program is ideally suited to provide the next generation of leaders in this fast-moving and critically important area.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM067547-03
Application #
6900950
Study Section
Special Emphasis Panel (ZGM1-BRT-0 (01))
Program Officer
Whitmarsh, John
Project Start
2003-07-01
Project End
2008-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
3
Fiscal Year
2005
Total Cost
$197,039
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Cario, Clinton L; Witte, John S (2018) Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations. Bioinformatics 34:936-942
Mavor, David; Barlow, Kyle A; Asarnow, Daniel et al. (2018) Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance. Biol Open 7:
Saha, Suvrajit; Nagy, Tamas L; Weiner, Orion D (2018) Joining forces: crosstalk between biochemical signalling and physical forces orchestrates cellular polarity and dynamics. Philos Trans R Soc Lond B Biol Sci 373:
Hendel, Nathan L; Thomson, Matthew; Marshall, Wallace F (2018) Diffusion as a Ruler: Modeling Kinesin Diffusion as a Length Sensor for Intraflagellar Transport. Biophys J 114:663-674
Barlow, Kyle A; Ó Conchúir, Shane; Thompson, Samuel et al. (2018) Flex ddG: Rosetta Ensemble-Based Estimation of Changes in Protein-Protein Binding Affinity upon Mutation. J Phys Chem B 122:5389-5399
Kang, Hyun Min; Subramaniam, Meena; Targ, Sasha et al. (2018) Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nat Biotechnol 36:89-94
Milgrom, Peter; Horst, Jeremy A; Ludwig, Sharity et al. (2018) Topical silver diamine fluoride for dental caries arrest in preschool children: A randomized controlled trial and microbiological analysis of caries associated microbes and resistance gene expression. J Dent 68:72-78
Irwin, John J; Gaskins, Garrett; Sterling, Teague et al. (2018) Predicted Biological Activity of Purchasable Chemical Space. J Chem Inf Model 58:148-164
Gate, Rachel E; Cheng, Christine S; Aiden, Aviva P et al. (2018) Genetic determinants of co-accessible chromatin regions in activated T cells across humans. Nat Genet 50:1140-1150
Chang, Aram; Abderemane-Ali, Fayal; Hura, Greg L et al. (2018) A Calmodulin C-Lobe Ca2+-Dependent Switch Governs Kv7 Channel Function. Neuron 97:836-852.e6

Showing the most recent 10 out of 125 publications