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NOBEL PRIZE 2026

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NIHNATIONAL HUMAN GENOME RESEARCH INSTITUTE

Berkeley Training Program in Genomics and Computational Biology

Active
Institution
UNIVERSITY OF CALIFORNIA BERKELEY, CA
Principal investigator
Daniel Soleyman Rokhsar
Funding
$339K
Duration
2000–2030
Open portfolio

Moonbase score

Still being scored

Abstract

Project Summary/Abstract The GTP provides graduate training and research opportunities at the University of California, Berkeley, emphasizing the cross-disciplinary nature of this rapidly advancing field. The trainees and training faculty are drawn from Ph.D. programs in diverse departments and graduate groups, 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: population and evolutionary genomics, functional genomics, and computational and statistical methods. 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 between six and ten predoctoral students per year in genomics and computational biology.

Research team

  • Rasmus NielsenPI
  • Daniel Soleyman RokhsarPI

LOADING MOONBASE SCORE

NATIONAL HUMAN GENOME RESEARCH INSTITUTET32Special Emphasis Panel[ZHG1 HGR-P (J1)]genomicscomputational biologycomputationalintroductoryberkeleycampus-widecomputational statisticalgtp

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