North Carolina Central University
Fall 2009
Daniel Williams & Duke University collaborators

The course is designed for upper-level undergraduates and graduate students who are majoring or have majored in Biology, Computer Science, or Math. It will cover issues involved in analyzing complex genetic traits using examples from human disease and plant stress. It will utilize cutting edge technologies and computational approaches now available for identifying the genes responsible for these traits. There will be a strong computational and laboratory component of the course with analytical problems solved by the students. The student learning objectives will be to:

1) Describe the nature of complex traits in humans and plants.
2) Explain how Quantitative Trait Loci (QTL) and association mapping are performed.
3) Identify and validate candidate genes.