ECS 289A - Modeling Gene Regulation

Winter 2003

Professor: Vladimir Filkov, 3032 EUII, filkov@cs.ucdavis.edu, (530) 752 - 8393

Time: MW, 1:10 pm - 2:30 pm

Place: Bainer Hall, 1062

Lecture: 3 hours

Discussion: 1 hour

Prerequisite: Graduate standing in Computer Science or Life Sciences or permission by instructor

Grading: Letter, project (50%), presentation (20%), final (30%)

Catalog Description:
Computational modeling of transcriptional gene regulation, using gene expression and other large-scale genetic data, including methods for analysis of expression data, methods for combining sequence and expression data, and popular approaches in modeling gene networks

Goals:

1. Introduction to computational functional genomics.
2. Summarizing the state-of-the art in gene regulation modeling.
3. Addressing problems presented by large-scale biological data.
4. Emphasizing interdisciplinary research.

Textbook:
None

References:
Selected technical papers will be used.

Project:
Students will use methods taught in class to follow the process of gene regulation inference from available data. Both theoretical and applied projects will be suggested. The projects will be done in groups consisting of a fair mix of life science and computer science students.

Presentations:
Students will present technical papers or software used for gene regulation inference.