Microarray Data Analysis
X403 (1 semester unit in Molecular and Cell Biology)
This course illustrates data analysis by applying pattern recognition methods to publicly available microarray data sets. You will learn to mine information from public data repositories and then subject it to data analysis using public and commercial software. The course covers the significance of applying normalization methods and statistical measures to an experimental data set to arrive at a set of differentially expressed genes. The results of that data analysis are then interpreted through tools that interact with genome databases.
There are currently no sections open for enrollment.
Sections closed for enrollment
Sun. April 6, San Francisco
SUPARNA MUNDODI, Ph.D., in molecular biology and M.S. in computer information systems, is a bioinformatics scientist at the Carnegie Institution of Washington at Stanford University, where she focuses on genome curation and microarray data analysis. She has taught courses on microarray principles and data analysis at UC Santa Cruz Extension. She has also been actively involved with bioinformatics consulting for the past several years.NOTE: This class is closed. For information about related courses, contact your academic department.
Courses begin every month. A new edition of our catalog is published
three times a year in early April, July and December.