SISG 2023 Modules

July 10 to July 12

Module 1: Probability and Statistical Inference
Instructors:
Annalise Paaby; Toyya Pujol
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; Kendrick Li
Module 6: Gene Expression Profiling
Instructors:
Gregory Gibson; Peng Qiu
Module 7: Applications of Population Genetics
Instructors:
Ryan Hernandez; Timothy O'Connor

July 17 to July 19

Module 8: Statistical Genetics
Instructors:
Jérôme Goudet; Bruce Weir
Module 9: Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh
Module 10: MCMC for Genetics
Instructors:
Eric Anderson; Matthew Stephens

July 19 to July 21

Module 11: Genetic Epidemiology
Instructors:
Sara Lindstroem; Burcu Darst
Module 12: Mixed Models in Quantitative Genetics
Instructors:
Guilherme Rosa; Bruce Walsh
Module 13: Bayesian Statistics for Genetics
Instructors:
Ken Rice; Ting Ye
Module 14: Advanced Quantitative Genetics
Instructors:
Peter Visscher; Loic Yengo

July 24 to July 26

Module 15: Association Mapping: GWAS and Sequencing Data
Instructors:
Joelle Mbatchou; Loic Yengo
Module 16: Pathway & Network Analysis for Omics Data
Instructors:
Alison Motsinger-Reif; Ali Shojaie

July 26 to July 28

Module 18: Computational Pipeline for WGS Data
Instructors:
Matthew Conomos; Laura Raffield; Ken Rice
Module 19: Multivariate Analysis for Genetics Data
Instructors:
Jan Graffelman