IDRE Seminar – Computation and Storage, Data Informatics

Computational challenges and solutions in an analysis of large-scale whole genome sequencing data

Speakers:

Eleazar Eskin¹, Giovanni Goppola², and Jae Hoon Sul²

¹Professor, Computer Science – Human Genetics
²Professor, Psychiatry & Biobehavioral Sciences
University of California, Los Angeles

Date and Time: May 5th, 2016 at 12:00 PM(Lunch will be served^*)
Location: 5628 Math Sciences Bldg.
RSVP^**: http://cfapps.ats.ucla.edu/cfapps/events/rsvp/RSVPNow.cfm?EveID=3503&SecID=3491

Abstract:
Whole-genome sequencing (WGS) technologies have emerged as a powerful approach to interrogate complete genome sequences. As the cost of next-generation sequencing decreases at a rate faster than that described by Moore’s law, an increasing number of genomics studies are utilizing WGS to identify genetic variants that influence one’s susceptibility to diseases. Identifying those genetic variants is very important because they aid studies to identify the genetic basis of diseases and eventually to develop a personalized treatments for individuals based on their genome sequences, which is a major goal of precision medicine. UCLA has already performed WGS of thousands of individuals and has plans to sequence a greater number of individuals. However, analyzing large genomic data sets is computationally challenging and requires a vast amount of computational resources.

^*Lunch will be ready at 11:45 AM.
^**To ensure you have a space at the seminar, please RSVP ONLINE by April 30, 2016.