SISG 2021 Modules

July 7 to July 9

Module 1: Probability and Statistical Inference
Instructors:
James Hughes; Zoe Moodie
Module 2: Introduction to Genetics and Genomics
Instructors:
Gregory Gibson; Joseph Lachance
Module 3: Introduction to R
Instructors:
Ken Rice; Ting Ye
Module 4: Fundamentals of Population Genetics
Instructors:
Dahlia Nielsen; Nadia Singh

July 12 to July 14

Module 5: Regression Methods: Concepts & Applications
Instructors:
Rebecca Hubbard; Xu Shi
Module 6: Gene Expression Profiling
Instructors:
Gregory Gibson; Peng Qiu
Module 7: Applications of Population Genetics
Instructors:
Ryan Hernandez; Timothy O'Connor

July 14 to July 16

Module 8: Bayesian Statistics for Genetics
Instructors:
Ken Rice; Jonathan Wakefield
Module 9: Statistical Genetics
Instructors:
Jérôme Goudet; Bruce Weir
Module 10: Genetic Epidemiology
Instructors:
Alison Fohner; Sara Lindstroem
Module 11: Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh

July 19 to July 21

Module 12: Pathway & Network Analysis for Omics Data
Instructors:
Alison Motsinger-Reif; Ali Shojaie
Module 13: Association Mapping: GWAS and Sequencing Data
Instructors:
Timothy Thornton; Michael Wu
Module 14: Mixed Models in Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh
Module 15: Forensic Genetics
Instructors:
Sanne Aalbers; Bruce Weir; Michael Coble

July 21 to July 23

Module 16: Computational Pipeline for WGS Data
Instructors:
Ken Rice; Timothy Thornton; Matthew Conomos
Module 17: MCMC for Genetics
Instructors:
Eric Anderson; Matthew Stephens
Module 18: Multivariate Analysis for Genetic Data
Instructors:
Jan Graffelman