Short course UGA 2018 - Programming and computer algorithms in animal breeding with focus on single-step GBLUP and reality of genomic selection
EDITED on May 21st
Applications are closed.
When
May 7 - 25, Athens, GA
From 9:00am to 5:00pm
Course Venue
Department of Animal and Dairy Science
425 River Road, Athens GA 30602
Week 1.
Week 2.
Monday - Wednesday:
- Advanced programming in Fortran 95/2003
- Computer algorithms useful in animal breeding
Thursday - Friday:
- Introduction to BLUPF90 family programs
- Associated programs: renumf90, inbupg,…
- Modeling:
- Basic models: single-trait, multiple trait, maternal,…
- Advanced models: random-regression, competition, threshold, censored,…
- Variance components estimation
Parallel computing with OpenMP
Week 3. (Final Program)
Bases for Genomic Predictions - Legarra et al. 2018
Monday
- Introduction: brief history of genomic selection
- Basis of SNP data
- Data manipulation and scripts with Unix tools
The promise of genomics for animal improvement
Unix commands and quality control
Tuesday
- GBLUP, SNPBLUP, brief Bayesian Methods
- GBLUP with dominance
- BLUPF90 with user_file
Non-additive effects in the genetic evaluation
Wednesday
- ssGBLUP
- Genomic Options in Blupf90
- Cross-validation methods
Risks of forecasting in animal breeding
Answers to exercises - Assignment 13
Thursday
- YAMS
- SNP effects from ssGBLUP
- Strategies for many genotyped animals
- Theoretical accuracies
- Use of postGSf90
- Real life example of large application of ssGBLUP: American Angus
How large-scale genomic evaluations are are possible
Answers to exercises - Assignment 14
Friday. Single-step without limits and practical issues
- Simulation of genomic data using QMSim
- Causative variants
- When to weight SNPs
- Dimensionality of genomic information
YAMS - A sparse matrix package
Questions in Genomic Selection and History of single-step
All Assignments
Instructors:
Ignacy Misztal, Shogo Tsuruta, Daniela Lourenco, and Yutaka Masuda (UGA)
Andres Legarra and Zulma Vitezica (France)
Ignacio Aguilar (Uruguay)
Attendance:
The course can be attended in full or partially. The attendance in Weeks 1-2 is limited to 25 and in Week 3 is limited to 35. Those attending for 2-3 weeks will have priority.
Those familiar with basics of Fortran 95 can skip Week 1. Those familiar with the BLUPF90 software can skip Week 2.
Thursday-Friday of Week 2 and Week 3 will involve very limited programming and can thus be attended by those interested in
application programs and genomic applications.
Prerequisites:
Participants are expected to be familiar with mixed model equations and quantitative genetics.
Familiarity with Linux / Unix environments a plus.
Knowledge of programming in any programming language a strong plus.
Fees:
The fees will be the same regardless of the number of weeks attended
- Industry - $1200
- Academic - $700
- Graduate student - $500
- Graduate students from USA who are part of AG*IDEA institution - might be able to waive the registration fee
- Prospective graduate students please contact Daniela Lourenco (danilino@uga.edu)
Forms of Payment:
Cash, checks (US) or wire transfers
We are unable to accept credit card or PayPal payments
Deadline Application:
April 6
Applications are closed
Download the Registration Form
To speed up the process, email your registration form to Susan Bradley susanb@uga.edu
Please mail the registration form and check (made payable to University of Georgia) to:
Susan Bradley
University of Georgia Animal and Dairy Science
425 River Road
Athens, GA 30602 USA
Logistics:
The closest airport to Athens is in Atlanta. For transportation to and from the Atlanta airport, see: https://groometransportation.com/athens/
Housing:
Housing at the university dorms will be available. The registration will be open in April: https://housing.uga.edu/site/register_summer
On-campus hotel (Georgia Center) is also an option: https://www.hotel.uga.edu/
An extended stay hotel provides accommodation at ~ $250/week (DO NOT book before reading reviews): https://www.intownsuites.com/extended-stay-locations/georgia/metro-athens/
Other housing options can be booked through regular booking websites and Airbnb.
Athens information:
See the official website or separate pages.