Winter 2003 (CRN 60478)
Professor
Vladimir Filkov |
Time and Place Lecture: Discussion: |
Course Information:
This is an introductory course in
Computational Functional Genomics.
In this course we will study computational methods for (1)
analysis of
microarray and other large-scale genomic data, (2)
inferring regulatory
relationships among genes, and (3) modeling gene networks.
Syllabus
Lectures:
Lecture Schedule Updated!
Lecture 1, 1/6/03, Intro to Molecular Biology
Lecture 2, 1/8/03, Biotechnologies
Lecture 3, 1/13/03, CS for Biologists
Lecture 4, 1/15/03, Microarray Data: Normalization and Differential Expression
Lecture 5, 1/22/03, Classification Methods
Lecture 6, 1/24/03, Clustering Methods
Lectures 7 & 8, 1/27/03 & 1/29/03, Modeling and Gene Regulation
Lecture 9, 2/3/03, Static Graph and Linear Models
Lecture 10, 2/5/03, Boolean Network Models
Lectures 11 & 12 , 2/10/03 & 2/12/03, Bayesian Network Models, part I and II
Lecture 13 & 14, 2/19/03 & 2/24/03, Continuous Models
Lecture 15, 2/26/03, Methods for Cis-region Analysis
Lecture 16 & 17, 3/3/03 & 3/5/03, Data Integration
Lecture 18, 3/10/03, Realistic Models of Gene Regulation
List of papers on which the lectures are partially based can be found here.
Projects and presentations:
Project List
Student Presentations
List of registered students (for group forming) as of 1/24/03
Text:
No textbooks are required for this course.
Recommended Texts:
Recombinant DNA, 2nd
Edition, Watson, Gilman, Witkowski, Zoller
Freeman and Co., 1992
Microarrays For
an Integrative Genomics, Kohane, Kho, Butte
MIT Press, 2003
DNA Microarrays and Gene
Expression, Baldi and Hatfield
Cambridge University Press, 2002
Related Courses:
UC Davis:
EAD 289D - Statistical Bioinformatics, WQ 2003
(David Rocke)
Other Places:
Gifford and Young's Computational
Functional Genomics at MIT
Ron Shamir's Analysis
of Gene Expression Data, DNA Chips and Gene Networks, at Tel Aviv University
Computational Biology Resources on the Web:
Link to recent papers on microarrays