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20th Summer Institute in Statistical Genetics: Course Materials & Software

SISG Course Materials and Software

The following list links to the handouts and publicly available software (if any) used by each module for SISG 2015.

Some modules will require participants to bring a laptop and will use it in all sessions. Additionally, participants are STRONGLY encouraged to download and install the software BEFORE coming to the Institute. Participants will have free online access while they are on the University of Washington campus.

This is a tentative list and subject to change; please check back here for updates.

Latest update: 06/16/2015 14:47:20 PDT

NOTE:**With regards to R package downloads, we have only listed those R packages specifically requested by the instructor. Additional packages required for successful installation of the specified packages are *not* explicitly listed here, as R normally resolves dependencies and downloads required packages automatically.

Module 1 Probability and Statistical Inference:
Click Here to Download Module Handout
TBA
No Software
Module 2 Molecular Genetics and Genomics: TBA
TBA
Module 3 Introduction to R: TBA
R 3.2.0
Module 4 Accessing Biomedical Big Data: TBA
TBA
Module 5 Regression and Analysis of Variance: TBA
Module 5 Data and Notes
R 3.2.0
R package gee
R package multcomp
RStudio
Module 6 Gene Expression Profiling: TBA
TBA
Module 7 Elements of R for Genetics and Bioinformatics: TBA
TBA
Module 8 Visualization of Biomedical Big Data: TBA
TBA
Module 9 Population Genetic Data Analysis: TBA
R 3.2.0
R package adegenet
R package ape
R package hierfstat
RStudio

Module 10 Quantitative Genetics: TBA
TBA
Module 11 Genetic Epidemiology: TBA
No Software
Module 12 Supervised Methods for Statistical Machine Learning: TBA
TBA
Module 13 Association Mapping: GWAS and Sequencing Data: TBA
R 3.2.0
PLINK
Module 14 QTL Mapping: TBA
Windows QTL Cartographer V2.5_011
Module 15 Mixed Models in Quantitative Genetics: TBA
TBA
Module 16 Unsupervised Methods for Statistical Machine Learning: TBA
TBA
Module 17 Advanced R Programming for Bioinformatics: TBA
TBA
Module 18 MCMC for Genetics: TBA
PHASE
R 3.2.0
Structure
Module 19 Statistical & Quantitative Genetics of Disease: TBA
R 3.2.0
RStudio
Module 20 Reproducible Research for Biomedical Big Data: TBA
TBA
Module 21 Forensic Genetics: TBA
TBA
Module 22 Bayesian Statistics for Genetics: TBA
Module 22 Data
R 3.2.0
R package dplyr
R package ggplot2
R package coda
Module 23 Advanced Quantitative Genetics: TBA
TBA
Module 24 Pathway & Network Analysis for Omics Data: TBA
No Software
Module 25 Molecular Phylogenetics: TBA
TBA
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