Application and Analysis of Microarrays
BME 210
, Winter 2004


Course Information

Lecture: Tu 12-1:45pm, Thimann 101 Lab: Th 12-1:45pm, Kresge 317

Information and Handouts

·        Office Hours

·        Syllabus & Lecture slides

·        Reading List

·        Labs & Problem Sets

·        Frequently Asked Questions

Course Description & Objectives

Prepare biology, chemistry, and bioinformatics graduate students for research projects and collaborations using microarrays that measure biological processes (i.e. DNA microarrays); course assignments emphasize interdisciplinary collaboration.

All students, regardless of initial background, will learn:



Course grades will be based 50% on homework assigments and 50% on the Final Project. Some extra credit may be awarded for class participation.


We strongly encourage students to come to office hours.

Please do not e-mail the instructors with grading questions. If you want us to explain why we took points off, you can talk to us after class or during office hours. If you want a re-grade, please write an explanation and hand the homework and the explanation to one of the instructors during office hours or after class.

Occasionally we may need to broadcast a message to entire class. To make sure we can reach you, please subscribe to the BME210 mailing list by sending an e-mail to with a blank subject line and "subscribe bme210" as your message.


Textbook Information

·        The primary reading material will be the book “Microarray: Gene Expression Data Analysis” by Causton, Quackenbush, and Brazma.


·         An optional text we recommend for slightly more advanced statistical topics is the book “Statistcal Analysis of Gene Expression Microarray Data” edited by Terry Speed.

Comments to Josh Stuart