ST757 - Statistics for Molecular Quantitative Genetics
- Prerequisites: ST 512 and [ST 565 or GN 703]
- Term & Frequency: Fall, alternate year
[Note: It should be scheduled for Fall 2012. I just noticed it is not
on the schedule in this semester courses. I just came back from a
year-long sabbatical, and have not paid attention to this.]
- Student Audience: ST and BI graduate students who are pursuing
research in statistical genetics and bioinformatics.
- Credit: 3 credits
- Recent Texts: Fitzmaurice, G.M., Laird, N.M., and Ware, J.H. (2004) Applied Longitudinal Analysis, New York: Wiley.
- Recent Instructors: Dr. Zhao-Bang Zeng
- Background and Goals: Systematically introduce statistical and genetic
background, statistical methods, algorithms and programs for mapping quantitative trait loci and for studying genetic architecture of quantitative traits. Introduce and review some current research on microarray gene expression QTL analysis and other recent research progress.
- Content: Quantitative genetics principles; Genomic data; Experimental
designs; Linkage analysis; Linkage map construction; Quantitative
genetic models; Marker analysis; Interval mapping; Composite interval
mapping; Multiple interval mapping; QTL Cartographer; Multiple trait
analysis; eQTL mapping analysis; Review of recent research progress.
- Alternatives: here is another parallel co-listed course GN 757 that is intended for graduate students from CALS, CNR, and CVM who are
basically practitioners. So the course covers both statistical and
applied aspects of the subject.
- Subsequent Courses: None
S1 2017 Sections:
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