Nancy Cox, The University of Chicago
Warren Ewens, University of Pennsylvania
Guilherme Rosa, University of Wisconsin-Madison
Carl Langefeld, Wake Forest University
Suzanne M. Leal, Baylor College
Shili Lin, The Ohio State University
Alison Motsinger-Reif, North Carolina State University
Atul Butte, Stanford University
Mahlet G. Tadesse, Georgetown University
Christine Duarte, University of Alabama
Gustavo de los Campos, University of Alabama
Xiangqin Cui, University of Alabama
Hemant Tiwari, University of Alabama
L. Kelly Vaughan, University of Alabama
Degui Zhi, University of Alabama
The University of Alabama at Birmingham’s Section on Statistical Genetics will offer the second annual National Institute of General Medical Sciences (NIGMS)–funded short course, “Statistical Genetics and Genomics,” from July 9–13.
Focusing on state-of-the-art methodology to analyze complex traits, the five-day course will provide an interactive program to enhance researchers’ ability to understand and use statistical genetic methods, as well as implement and interpret sophisticated genetic analyses. Topics will include the following:
There also will be software demonstrations on introductory R and Bioconductor; PLINK, PENNCNV, Epigenetic Analysis; IMPUTE2; ChiP Seq Software (DIME); RMANOVA and HDBSTAT; and Ingenuity Pathways Analysis (IPA).
To ensure the depth and practicality of the training program, the section will provide 10 laptops to students or student pairs in the classroom. Each computer will be loaded with the required statistical software. Participants are encouraged to bring their laptops.
Also, a limited number of travel fellowships are available for participants residing in the United States.
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