Computational Genomics Summer Institute – Apply Today

 

CGSI – extended application deadline

Rolling admissions are starting March 15th.
Registration Fee:

$550 apply by April 1st
$650 apply by April 15th
$750 apply after April 15th
Subsidized housing for CGSI is guaranteed for anyone who applied by April 15th.  Housing for applicants who apply after April 15th will be given on a first come first serve basis subject to availability.

We have filled most of the slots in the 2018 CGSI Long Course, however, there are still a few available slots.
The long program has been a huge success last year and many people were not able to be admitted as they did not apply on time – make sure that this year you are not left behind!
There are also still available spaces in the 2018 CGSI Short Course.
Register now to get the lower rate and subsidized housing.

DATES
SHORT PROGRAM #1: July 16 – 20, 2018
SHORT PROGRAM #2: July 30 – August 3, 2018
LONG PROGRAM: July 11 – August 3, 2018

@ UCLA Campus, Los Angeles
Visit our website to learn more.

The application is open!

Apply now for this upcoming summer’s Short and Long Courses:

STEP #1 APPLY
STEP #2 SEND YOUR CV

 

Watch the best talks in 2018 CGWI

Our first offering of the Computational Genomics Winter Institute was a success. In our feedback survey, we asked the participants to pick three talks they wanted to highlight on our website. We would first like to emphasize that the feedback we got was that all the talks in CGWI were excellent. But we are happy to announce that the ones that received the most votes are the talks of Brian Browning, Casey Greene, Su-In Lee, and John Novembre. We now have links to these videos highlighted on the front page of CGWI for easy access, and links to all of the talks are also available at the CGSI website.

Su-In Lee: “Interpretable Machine Learning for Precision Medicine.”


Casey Greene: “Deep learning: privacy preserving data sharing along with some hints and tips.”


John Novembre: “Computational tools for understanding geographic structure in genetic variation data.”

The 2018 CGSI Organizers

CGSI Co-organizers:
Fereydoun Hormozdiari, UC Davis
David Koslicki, Oregon State University
Kirk Lohmueller, UCLA
Ran Blekhman, University of Minnesota

CGSI Program Co-directors:
Eleazar Eskin, UCLA
Eran Halperin, UCLA
Dima Shlyakhtenko, UCLA IPAM

CGSI Steering Committee
Eleazar Eskin, UCLA
Eran Halperin, UCLA
John Novembre, University of Chicago
Ben Raphael, Princeton University

UCLA Computational Genomics Summer Institute

ipam-logoDear Colleagues,

I am happy to announce the UCLA Computational Genomics Summer Institute, which is a new National Institutes of Health funded program at UCLA jointly hosted with the Institute of Pure and Applied Mathematics (IPAM). The program will take place each summer for one month. The dates for 2016 are July 18th – August 12th.

The program focuses on providing training in methodology development for genomics. We hope that it will be of interest to researchers at all levels. Our program builds upon a successful program hosted by IPAM in 2011 on “Mathematical and Computational Approaches in High Throughput Biology.” IPAM is a national math institute funded by the National Science Foundation.

The program consists of two parts. The first part (July 18th – July 22nd) is the Short Program which is in the format of a short course consisting of lectures from leading researchers in computational genomics. The short program is appropriate for researchers at all levels including both researchers actively involved in methodology development as well as other researchers who want to incorporate a methodology development aspect to their research program.

The second part (July 21st – August 12th) is the Long Program which is a continuation of the Short Program. The program is in the style of a typical long program hosted at IPAM where participants have opportunity to interact and collaborate with each other as well as the leading researchers who will serve as program faculty. The program is targeted toward senior trainees such as senior students or post-docs through established researchers.

Researchers at all levels — students, post-docs, staff researchers, as well as junior and senior faculty — are encouraged to participate in the program. Funding is available to support faculty and participant costs during the program. Because space is limited in the program, we are requiring interested participants and potential program faculty to apply as soon as possible.

Application materials are available on the program website (http://computationalgenomics.bioinformatics.ucla.edu). For questions about the program, interested individuals should email uclacgsi@gmail.com.

Sincerely,
The UCLA CGSI Organizing Committee
Eleazar Eskin, UCLA, CGSI Director
Russel Caflisch, UCLA. IPAM Director
Eran Halperin, Tel Aviv University
John Novembre, University of Chicago
Ben Raphael, Brown University

Review Article: GWAS and Missing Heritability

cacm-coverA couple of years ago I was asked to write a review article on the progress of my field (computational genetics) targeted toward computer scientists. My article “Discovering Genes Involved in Disease and the Mystery of Missing Heritability” was just published on the cover of the Communications of the ACM. This article is written to be an introduction to the field as well as describe the rapid progress over the past decade in terms of the discovery of large number of variants involved in common human diseases. The article is written assuming no background in biology and is designed to be accessible to researchers and students outside the field. I hope that it will encourage other computational researchers to get involved in genetics.  The journal also made a video highlighting this article which is available here:

Discovering Genes Involved in Disease and the Mystery of Missing Heritability from CACM on Vimeo.

The full citation to the article is:
 

Eskin, Eleazar

Discovering Genes Involved in Disease and the Mystery of Missing Heritability Journal Article

In: Commun. ACM, 58 (10), pp. 80-87, 2015, ISSN: 0001-0782.

Abstract | Links | BibTeX