We request funds to continue the interdisciplinary training program in genomics at the University of Washington and affiliated institutions. The program focuses on preparing pre-and postgraduates for a research career in biology that includes knowledge of genomics, proteomics and computational biology. With trainees coming into the field at a time when hundreds of genome sequences are available, they will be engaged in projects that include discovering how a genome encodes the information for gene products to perform complex biological tasks; measuring and analyzing sequence variation; developing technologies to accommodate high throughput experimental assays; and generating new computational tools to analyze genomic and proteomic data. As these research challenges demand interdisciplinary approaches and multidisciplinary collaborations, a goal of this program is to attract individuals trained in computer science, statistics, physics, and engineering to biological research. The program also trains cellular and molecular biologists in one or more other disciplines so that they can effectively collaborate at this interdisciplinary interface. Given the wide diversity in educational backgrounds and career goals among our trainees, the program emphasizes highly individualized training programs and interdisciplinary research, with a focus on teaching computational approaches to biologists. A multidisciplinary group of 37 faculty, selected for their involvement in genome and proteome analysis and their strong record of productive collaborative interactions, comprises the training team. Research experience is complemented with a variety of didactic courses and electives. The trainees are also exposed to discussions on ethical research conduct and the ethical, legal, and social implications of genomic research. Breadth of knowledge and program cohesion are achieved through trainee participation in two seminar series that feature genomic research and computational biology, journal clubs, research in progress, and a variety of topical discussion groups led by program faculty. In the coming five years, we will continue to expand our program in genomics, proteomics, instrumentation development, computational biology, and statistical genomics. We request funds to train 17 predoctoral students and 7 postdoctoral fellows each year so that they emerge with the skills necessary for success in academic and industrial biomedical research of the 21st century made possible by advances in genomics. ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HG000035-13
Application #
7282094
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Graham, Bettie
Project Start
1995-08-01
Project End
2010-08-31
Budget Start
2007-09-01
Budget End
2008-08-31
Support Year
13
Fiscal Year
2007
Total Cost
$951,210
Indirect Cost
Name
University of Washington
Department
Biochemistry
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Brandsen, Benjamin M; Mattheisen, Jordan M; Noel, Teia et al. (2018) A Biosensor Strategy for E. coli Based on Ligand-Dependent Stabilization. ACS Synth Biol 7:1990-1999
McCoy, Rajiv C; Newnham, Louise J; Ottolini, Christian S et al. (2018) Tripolar chromosome segregation drives the association between maternal genotype at variants spanning PLK4 and aneuploidy in human preimplantation embryos. Hum Mol Genet 27:2573-2585
Kursel, Lisa E; Malik, Harmit S (2018) The cellular mechanisms and consequences of centromere drive. Curr Opin Cell Biol 52:58-65
Bigham, Abigail W; Magnaye, Kevin; Dunn, Diane M et al. (2018) Complex signatures of natural selection at GYPA. Hum Genet 137:151-160
DeWitt 3rd, William S; Mesin, Luka; Victora, Gabriel D et al. (2018) Using Genotype Abundance to Improve Phylogenetic Inference. Mol Biol Evol 35:1253-1265
McNally, Colin P; Borenstein, Elhanan (2018) Metabolic model-based analysis of the emergence of bacterial cross-feeding via extensive gene loss. BMC Syst Biol 12:69
Hill, Andrew J; McFaline-Figueroa, José L; Starita, Lea M et al. (2018) On the design of CRISPR-based single-cell molecular screens. Nat Methods 15:271-274
Timmins-Schiffman, Emma; Mikan, Molly P; Ting, Ying Sonia et al. (2018) MS analysis of a dilution series of bacteria:phytoplankton to improve detection of low abundance bacterial peptides. Sci Rep 8:9276
Smukowski Heil, Caiti; Burton, Joshua N; Liachko, Ivan et al. (2018) Identification of a novel interspecific hybrid yeast from a metagenomic spontaneously inoculated beer sample using Hi-C. Yeast 35:71-84
Klein, Jason C; Chen, Wei; Gasperini, Molly et al. (2018) Identifying Novel Enhancer Elements with CRISPR-Based Screens. ACS Chem Biol 13:326-332

Showing the most recent 10 out of 199 publications