Bioinformatics Concentration

This Concentration is designed for students interested in computational discovery and management of biological data, primarily genomic, proteomic or metabolomic data. Bioinformatics concentration studies emphasize computational, statistical and other mathematical approaches for depicting (modeling) and analyzing high-throughput biological data, and the inherent structure of biological information. Example research problems include finding statistical patterns that reveal genomic or evolutionary or developmental information, or how regulatory sequences give rise to “programs” of gene expression, or how the genome encodes the capabilities of the human mind.

APPROVED LIST - CONCENTRATIONS FOR THE ACADEMIC YEAR 2008-2009

Recommended courses are shown with *. Tentative schedule in parentheses.

Consult Curricular & Courses at www.registrar.ucla.edu/catalog/ for detailed course descriptions.

I. The following 3 premajor Program in Computing (PIC) courses (14 units) (in addition to PC 10A or CS 31 required in the premajor):

II. Six additional courses selected from the following 3 groups. At least one course from each Group A, B and C must be included, and the entire 6 must form a coherent set, as justified in the student's narrative submitted when applying to the Major. These courses must be chosen in consultation with a faculty mentor and approved by the Program Chair.

(A) BI Methodology

(B) BI Computer Science

(C) BI Molecular & Cellular Biochemistry