BME 205: BioinfoModel/Algorthm

University of California, Santa Cruz

Covers bioinformatics models and algorithms: the use of computational techniques to convert the masses of information from biochemical experiments (DNA sequencing, DNA chips, and other high-throughput experimental methods) into useful information. Emphasis is on DNA and protein sequence alignment and analysis.

Average GPA: 3.58

Instructors

• David Lee Bernick 224 students, Average GPA 3.51
• Russell Corbett-Detig 108 students, Average GPA 3.71
• Alexander Ioannidis 59 students, Average GPA 3.77
• David Haussler 49 students, Average GPA 3.63