SISG 2019 Modules

July 8 to July 10

Module 1: Probability and Statistical Inference
Instructors:
James Hughes; Mauricio Sadinle
Module 2: Introduction to Genetics and Genomics
Instructors:
Greg Gibson; Christine Queitsch
Module 3: Introduction to R
Instructors:
Ken Rice; Timothy Thornton
Module 4: Conservation Genetics
Instructors:
Dahlia Nielsen; Nadia Singh

July 10 to July 12

Module 5: Regression Methods: Concepts & Applications
Instructors:
Rebecca Hubbard; Mary Lou Thompson
Module 6: Integrative Genomics
Instructors:
Greg Gibson; Joseph Powell
Module 7: Population Genetics
Instructors:
Ryan Hernandez; Timothy O'Connor

July 15 to July 17

Module 8: Bayesian Statistics for Genetics - CLOSED
Instructors:
Ken Rice; Jonathan Wakefield
Module 9: Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh
Module 10: Pathway & Network Analysis for Omics Data
Instructors:
Alison Motsinger-Reif; Ali Shojaie

July 17 to July 19

Module 11: Genetic Epidemiology
Instructors:
Alison Fohner; Sara Lindstroem
Module 12: Mixed Models in Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh
Module 13: Statistical Genetics
Instructors:
Jérôme Goudet; Bruce Weir

July 22 to July 24

Module 14: Association Mapping: GWAS and Sequencing Data
Instructors:
Timothy Thornton; Michael Wu
Module 15: Advanced Quantitative Genetics
Instructors:
Peter Visscher; Matthew Robinson
Module 16: Forensic Genetics
Instructors:
Bruce Weir; Sanne Aalbers

July 24 to July 26

Module 17: Computational Pipeline for WGS Data
Instructors:
Stephanie Morris Gogarten; Ken Rice; Timothy Thornton
Module 18: MCMC for Genetics
Instructors:
Matthew Robinson; Matthew Stephens