The Sixteenth Annual Statistical Genetics Workshop
- featuring Mendel software

UCLA Statistical Genetics Programming Workshop

Thursday, March 9 & Friday, March 10 on the UCLA Campus

The workshop will be held in conjunction with the Genetic Analysis Workshop, March 4-8, 2017 in San Diego, CA.

For more information email statgene@mednet.ucla.edu
There are a limited number of slots available. Qualified applicants will be accepted on a first come, first served basis until all slots are filled.

UCLA
2014 Course at UCLA

This workshop will cover statistical genetics programming in the OpenMendel software, using the state-of-the-art Julia language, designed for scientific computing. The workshop will cover methods for using, extending, and customizing the Julia code for genetic analysis.

The workshop is Intended for bioinformaticians and statisticians who want to customize their analysis of genetic data drawn from the study of complex traits. Participants should have prior programming experience.

Topics will include:

Instructors will include UCLA faculty who designed and develop Mendel, and MIT scientists who designed and develop Julia.

UCLA Instructors

  1. Kenneth Lange
  2. Jeanette Papp
  3. Janet Sinsheimer
  4. Eric Sobel
  5. Hua Zhou

MIT Instructors

  1. Jiahao Chen
  2. Andreas Noack

Where:
University of California, Los Angeles

Course Registration:
Registration includes breakfast, lunch, and refreshments on each of the event days. Participants are invited to attend the welcome reception with bar service on the evening of March 9, 2017.

A limited number of hotel rooms are available. They will be offered on a first come, first served basis.

Programming Workshop Fees
General registration is $100; $50 for UCLA affiliates & GAW attendees.

Diversity Fellowships are available: click here for information about applying for a diversity fellowship.

To Apply:
Send the following items (in a text, Word, or PDF document) to statgene@mednet.ucla.edu

  1. Your resume (with current position and contact information).
  2. A short description of your statistical genetics and programming background and experience.
  3. If you are a student, a letter of recommendation from your faculty advisor.

Enrollment is limited. Applications will be reviewed by an admissions committee, and qualified applicants will be admitted on a first come, first served basis.

For information, email statgene@mednet.ucla.edu