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Instructor Class Description

Time Schedule:

James H Thomas
GENOME 373
Seattle Campus

Genomic Informatics

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.

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


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by James H Thomas
Date: 03/25/2005