The Berkeley Training Program in Genomics and Computational Biology provides graduate and postgraduate training and research opportunities at the University of California, Berkeley and the nearby Lawrence Berkeley National Laboratory, emphasizing the cross-disciplinary nature of this rapidly advancing field. Accordingly, the 31 training faculty and proposed trainees are drawn from diverse departments and graduate groups, and is associated with a campus-wide Designated Emphasis that formalizes the requirements for a broad education in computational biology and genomics. The program has three principal thrusts: the comparative and evolutionary analysis of genomes; the study of population level genetic variation; and the dissection of epigenetic and gene-regulatory networks. Trainees will take advantage of a rich training environment of seminars, retreats, and group meetings as well as a diverse set of formal course offerings that range from introductory to advanced methods in genomic biology. Research training will typically begin by the end of the second year, following an introductory period of laboratory rotations, coursework, and preliminary examinations. Progress of the trainees is evaluated by annual thesis reviews and regular meetings with mentors. The Program will train an average of 14 predoctoral students per year in genomics and computational biology.

Public Health Relevance

Genomics is revolutionizing approaches to human health, from the design, analysis, and interpretation of clinical studies to the exploration of the fundamental biology underlying the human condition. Our training program will develop the next generation of genomically literate scientists and engineers

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HG000047-18
Application #
9306941
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Gatlin, Christine L
Project Start
2000-09-01
Project End
2020-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
18
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of California Berkeley
Department
Biochemistry
Type
Graduate Schools
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Erickson, Priscilla A; Baek, Jiyeon; Hart, James C et al. (2018) Genetic Dissection of a Supergene Implicates Tfap2a in Craniofacial Evolution of Threespine Sticklebacks. Genetics 209:591-605
Mok, Amanda; Rhead, Brooke; Holingue, Calliope et al. (2018) Hypomethylation of CYP2E1 and DUSP22 Promoters Associated With Disease Activity and Erosive Disease Among Rheumatoid Arthritis Patients. Arthritis Rheumatol 70:528-536
Street, Kelly; Risso, Davide; Fletcher, Russell B et al. (2018) Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics. BMC Genomics 19:477
Van Dalfsen, Kelsey Marie; Hodapp, Stefanie; Keskin, Abdurrahman et al. (2018) Global Proteome Remodeling during ER Stress Involves Hac1-Driven Expression of Long Undecoded Transcript Isoforms. Dev Cell 46:219-235.e8
Lyons, David B; Zilberman, Daniel (2017) DDM1 and Lsh remodelers allow methylation of DNA wrapped in nucleosomes. Elife 6:
Gianfrancesco, Milena A; Stridh, Pernilla; Shao, Xiaorong et al. (2017) Genetic risk factors for pediatric-onset multiple sclerosis. Mult Scler :1352458517733551
Rhead, Brooke; Holingue, Calliope; Cole, Michael et al. (2017) Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes. Arthritis Rheumatol 69:550-559
Hart, James C; Miller, Craig T (2017) Sequence-Based Mapping and Genome Editing Reveal Mutations in Stickleback Hps5 Cause Oculocutaneous Albinism and the casper Phenotype. G3 (Bethesda) 7:3123-3131
Stadler, Michael R; Haines, Jenna E; Eisen, Michael B (2017) Convergence of topological domain boundaries, insulators, and polytene interbands revealed by high-resolution mapping of chromatin contacts in the early Drosophila melanogaster embryo. Elife 6:
Gianfrancesco, Milena A; Stridh, Pernilla; Rhead, Brooke et al. (2017) Evidence for a causal relationship between low vitamin D, high BMI, and pediatric-onset MS. Neurology 88:1623-1629

Showing the most recent 10 out of 78 publications