Time Schedule:
James H Thomas
GENOME 373
Seattle Campus
Focuses on methods for analyzing large genetic data sets and their application to biological problems, including sequence alignment and search methods, gene prediction, phylogenetic trees, and microarray analysis. Requires basic programming skills.
Class description
This course is intended to introduce students to the breadth of problems and methods in computational analysis of genomes, arguably the single most important new area in biological research. The specific subjects will include large-scale comparative genome structure, sequence alignment and search methods, gene prediction, evolutionary relationships among genes, and microarray analysis. Dr. Noble is trained in statistics and computer sciences, whereas Dr. Thomas is trained in genetics and molecular genetics. They collaborate in teaching the course to provide an inter-disciplinary view of this inter-disciplinary field. Teaching will alternate blocks of application to problems in biology with theoretical and algorithmic methods.
Student learning goals
General method of instruction
Lecture, group work, project based homework.
Recommended preparation
Class assignments and grading
