Registration

26th Summer Institute in Statistical Genetics (SISG)

University of Washington
July 7 - July 23, 2021
Early Registration Deadline: June 18, 12:00 am PDT(GMT -0700)*Regular registration price will be in effect after 11:59pm on June 17.
Refund Policy:
  • Cancellations made on or before June 5 will be subject to a $70 processing fee.
  • Cancellations made June 5 to June 30 will be subject to a $100 processing fee.
  • No refunds will be processed after June 30.
  • Canceling a credit card payment, including changing payment from credit card to invoice or UW budget number, will result in applicable cancellation fees ($70, $100).

 

 

MODULE CANCELLATION

UW Summer Institutes reserves the right to cancel any module at any time. In the unlikely event of a cancellation, the Summer Institutes and the Department of Biostatistics will allow registrants to enroll in another module of equal cost, apply the registration fee to a module of greater cost, or request a full refund. The Summer Institutes and the Department of Biostatistics are not responsible for costs or damages of any kind incurred by registrants (including expenses related to lodging, airfare, transportation, and/or any cancellation or change fees).

Registration Type
Module Pricing
RegularEarly
General Registration$550.00$450.00
Academic/Gov't/Non-Profit$400.00$300.00

Modules

2021 Session 1: July 7 - July 9, 2021
Probability and Statistical Inference
Introduction to Genetics and Genomics
Introduction to R
Fundamentals of Population Genetics
2021 Session 2: July 12 - July 14, 2021
Regression Methods: Concepts & Applications
Gene Expression Profiling
Applications of Population Genetics
2021 Session 3: July 14 - July 16, 2021
Bayesian Statistics for Genetics
Statistical Genetics
Genetic Epidemiology
Quantitative Genetics
2021 Session 4: July 19 - July 21, 2021
Pathway & Network Analysis for Omics Data
Association Mapping: GWAS and Sequencing Data
Mixed Models in Quantitative Genetics
Forensic Genetics
2021 Session 5: July 21 - July 23, 2021
Computational Pipeline for WGS Data
MCMC for Genetics
Multivariate Analysis for Genetic Data
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