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 20 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 15 predoctoral students and 5 postdoctoral scholars 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.

National Institute of Health (NIH)
National Human Genome Research Institute (NHGRI)
Institutional National Research Service Award (T32)
Project #
Application #
Study Section
Ethical, Legal, Social Implications Review Committee (GNOM)
Program Officer
Gatlin, Christine L
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California Berkeley
Schools of Arts and Sciences
United States
Zip Code
Choi, Yong Jin; Lin, Chao-Po; Risso, Davide et al. (2017) Deficiency of microRNA miR-34a expands cell fate potential in pluripotent stem cells. Science 355:
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
Wang, Miaoyan; Duc, Khanh Dao; Fischer, Jonathan et al. (2017) OPERATOR NORM INEQUALITIES BETWEEN TENSOR UNFOLDINGS ON THE PARTITION LATTICE. Linear Algebra Appl 520:44-66
Fletcher, Russell B; Das, Diya; Gadye, Levi et al. (2017) Deconstructing Olfactory Stem Cell Trajectories at Single-Cell Resolution. Cell Stem Cell 20:817-830.e8
Gadye, Levi; Das, Diya; Sanchez, Michael A et al. (2017) Injury Activates Transient Olfactory Stem Cell States with Diverse Lineage Capacities. Cell Stem Cell 21:775-790.e9
Feswick, April; Isaacs, Meghan; Biales, Adam et al. (2017) How consistent are we? Interlaboratory comparison study in fathead minnows using the model estrogen 17?-ethinylestradiol to develop recommendations for environmental transcriptomics. Environ Toxicol Chem 36:2614-2623
Gibilisco, Lauren; Zhou, Qi; Mahajan, Shivani et al. (2016) Alternative Splicing within and between Drosophila Species, Sexes, Tissues, and Developmental Stages. PLoS Genet 12:e1006464
Huff, Jason T; Zilberman, Daniel; Roy, Scott W (2016) Mechanism for DNA transposons to generate introns on genomic scales. Nature 538:533-536
Goldstein, Benjamin A; Polley, Eric C; Briggs, Farren B S et al. (2016) Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences. Int J Biostat 12:117-29
Kamm, John A; Spence, Jeffrey P; Chan, Jeffrey et al. (2016) Two-Locus Likelihoods Under Variable Population Size and Fine-Scale Recombination Rate Estimation. Genetics 203:1381-99

Showing the most recent 10 out of 65 publications