William S Noble
Computational methods for studying molecular evolution. Students must be able to write computer programs for data analysis. Prior coursework in biology and probability highly desirable Prerequisite: GENOME 540 or permission of instructor. Offered: Sp.
This is the second quarter of a two-quarter introduction to computational methods for analyzing biological data. The course surveys a variety of subfields in computational biology, including various types of sequence analyses -- phylogenetic footprinting, searching for non-coding RNAs, motif discovery -- as well as microarray analysis, proteomics, systems biology, computational cell biology and computational structural biology.
Student learning goals
General method of instruction
GENOME 540 or permission of instructor.
Students must be able to write computer programs for data analysis. Some prior exposure to probability, statistics and molecular biology is highly desirable.
Class assignments and grading
The entire course grade is based on the homework assignments, which are due weekly. No tests or exams.
The homework assignments involve writing programs for data analysis, and running them on a computer that you have access to (we cannot provide computers). We don't require a specific language.
10% for each homework assignment.