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)
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Ethical, Legal, Social Implications Review Committee (GNOM)
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Gatlin, Christine L
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University of California Berkeley
Schools of Arts and Sciences
United States
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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
Spence, Jeffrey P; Kamm, John A; Song, Yun S (2016) The Site Frequency Spectrum for General Coalescents. Genetics 202:1549-61
Vidal-Dorsch, Doris E; Bay, Steven M; Moore, Shelly et al. (2016) Ecotoxicogenomics: Microarray interlaboratory comparability. Chemosphere 144:193-200
Erickson, Priscilla A; Cleves, Phillip A; Ellis, Nicholas A et al. (2015) A 190 base pair, TGF-β responsive tooth and fin enhancer is required for stickleback Bmp6 expression. Dev Biol 401:310-23
Terhorst, Jonathan; Schlötterer, Christian; Song, Yun S (2015) Multi-locus analysis of genomic time series data from experimental evolution. PLoS Genet 11:e1005069
Ferreira, Todd; Wilson, Sarah R; Choi, Yoon Gi et al. (2014) Silencing of odorant receptor genes by G protein βγ signaling ensures the expression of one odorant receptor per olfactory sensory neuron. Neuron 81:847-59
Yang, Melinda A; Harris, Kelley; Slatkin, Montgomery (2014) The projection of a test genome onto a reference population and applications to humans and archaic hominins. Genetics 198:1655-70
Hart, Kathryn M; Harms, Michael J; Schmidt, Bryan H et al. (2014) Thermodynamic system drift in protein evolution. PLoS Biol 12:e1001994
Schiabor, Kelly M; Quan, Allison S; Eisen, Michael B (2014) Saccharomyces cerevisiae mitochondria are required for optimal attractiveness to Drosophila melanogaster. PLoS One 9:e113899
Fumagalli, Matteo; Vieira, Filipe G; Linderoth, Tyler et al. (2014) ngsTools: methods for population genetics analyses from next-generation sequencing data. Bioinformatics 30:1486-7

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