FPM 237 Microarray Technology and Informatics

Winter 2008, Division of Biostatistics and Bioinformatics, Department of Family & Preventive Medicine School of Medicine Elective Course

Organizers:

• Sonia Jain, Ph.D., Div. of Biostatistics and Bioinformatics, Dept. of Family & Prev. Medicine
• Gary Hardiman, Ph.D., Div. of Endocrinology & Metabolism, Dept of Medicine and Director of Biomedical Genomics Microarray Facility

Time: Thursday 3:00—5:00 p.m.

Room: Leichtag Building, Room 3A05

Units: 1 unit

This 10-week course is an introduction to DNA microarray technology and methods to analyze gene expression data. Topics will include platform types, image processing, experimental design, statistical analysis, and applications in medicine and the health sciences.

Prerequisites: There are no formal prerequisite courses.

Recommended Textbooks: A list of recommended textbooks and articles will be provided at each lecture.

Course Content: Content and emphasis of the course is defined by lecture material. It is important to attend all lectures as there is normally no way to make up for missed lectures.

Course Materials

Evaluation: The grading for this course is "s/u only". The grade will be based on class participation and a term project.

January 3 Introduction to microarrays - Dr. Raman Bhasker
January 10 Microarray Expression Platforms and Formats - Dr. Gary Hardiman
January 17 Experimental Design - Dr. Sonia Jain
January 24 Data Preprocessing and Normalization - Dr. Xin Lu
January 31 Methods for Determining Differential Expression - Dr. Chuck Berry
February 7 Alternative Arrays: SNP arrays, micro-RNA arrays - Dr. Gary Hardiman
February 14 Microarrays - past, present, future (Emerging Technologies) - Dr. Gary Hardiman
February 21 Protein microarrays - Dr. Raman Bhasker
February 28 Microarray Applications in the Health Sciences - Dr. Nik Schork
March 6 Student Presentations

» Back to Course Announcement