NOTE: Current plan is to offer this course again in Spring
2003. Depending on other offerings (perhaps a microarray course), I
may focus only on QTL. I will use a text that is being written joingly
with Zhao-Bang Zeng, Gary Churchill, and Karl Broman. More later.
NOTE: Time is being changed from 9:30-10:45 to 11-12:15
tue/thu to accomodate some time conflicts.
The course is officially listed as 1-3 credits. Three credits goes
along with doing projects and homework for the entire course. 1-2
credits is appropriate for students who are either only interested in
part of the course (e.g. only in microarrays or only in QTLs); they
will be expected to complete the full work for that module. As with
any advanced topic, you will only learn the material by actually doing
the work!
Interested students can register directly for Stat 692. Auditors are
encouraged to be "official" to gain computer access to our system
and software used during the course. I would appreciate an email to yandell@stat.wisc.edu to
anticipate class size. Please indicate (briefly)
your statistical and biological background, in terms of courses,
degrees or practical experience. Developing information about this
course and other material related to Statistical Genomics may be found
at
www.stat.wisc.edu/~yandell/statgen/course.
The objective of this course is to familiarize students with
state-of-the-art statistical methods for analyzing experiments
involving genomic data in the form of (a) molecular markers,
genetic linkage maps and complex phenotypic (quantitative) traits
and/or (b) gene expression microarray data across multiple conditions.
Construction and use of genetic linkage maps to infer quantitative trait loci (QTL) will be covered.
Issues involving whole-genome analysis will be highlighted.
Biology students should have a year sequence in statistical methods
(Stat/For/Hort 571-572 or equivalent) and a readiness to learn.
Statistics students should have an appreciation for data analysis in
biology. A general introduction to concepts of Mendelian inheritance
is assumed (Genetics 466 or equivalent).
Credits 1-3
Class Number Stat 692
Class Hours 11-12:15 tue/thu 1207 CompSci&Stat Center
World Wide Web http://www.stat.wisc.edu/~yandell/statgen/course/
Instructor Brian Yandell, 4367 CSSC, 262-1157
yandell@stat.wisc.edu
Courses and seminars listed below are on related topics, either from a
biological, mathematical or computational perspective. I am attempting
to coordinate among instructors/organizers with the aim to have
reciprocal lectures as appropriate.
Note dates and titles of my talks in other these courses or
seminars. I expect other instructors to reciprocate, to build linkages.
Return to Statistical Genomics Page.
www.stat.wisc.edu/~yandell/statgen/course/
by Brian Yandell
(yandell@stat.wisc.edu)