Registration

24th Summer Institute in Statistical Genetics (SISG)

University of Washington
July 8 - July 26, 2019
Early Registration Deadline: June 11, 12:00 am PDT(GMT -0700)*Regular registration price will be in effect after 11:59pm on June 10.
Refund Policy:
  • Cancellations made on or before May 31 will be subject to a $130 processing fee.
  • Cancellations made June 1 to June 28 will be subject to a $225 processing fee.
  • No refunds will be processed after June 28.
  • Cancelling a credit card payment, including changing payment from credit card to invoice or UW budget number, will result in applicable cancellation fees ($130, $225).

 

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$775.00$675.00
Academic/Gov't/Non-Profit$675.00$575.00

Modules

Session 1: July 8 - July 10, 2019
Probability and Statistical Inference
Introduction to Genetics and Genomics
Introduction to R
Conservation Genetics
Session 2: July 10 - July 12, 2019
Regression Methods: Concepts & Applications
Integrative Genomics
Population Genetics
Session 3: July 15 - July 17, 2019
Quantitative Genetics
Pathway & Network Analysis for Omics Data
Session 4: July 17 - July 19, 2019
Genetic Epidemiology
Mixed Models in Quantitative Genetics
Statistical Genetics
Session 5: July 22 - July 24, 2019
Association Mapping: GWAS and Sequencing Data
Advanced Quantitative Genetics
Forensic Genetics
Session 6: July 24 - July 26, 2019
Computational Pipeline for WGS Data
MCMC for Genetics
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