We are a computational biology lab within the Department of Biological Chemistry in
the David Geffen School of Medicine
and also part of the Computer Science Department, the
Interdepartmental Bioinformatics Program, the
Broad Stem Cell Research Center, the
Jonsson Comprehensive Cancer Center, and the
Molecular Biology Institute
The focus of the lab is
on developing and applying machine learning methods for the analysis of high-throughput experimental data to address problems in epigenomics and
gene regulation. Our research is often conducted in close collaboration with experimental groups.
Please see the publications page to learn more about the lab's research.
We are recruiting new members,
if interested please see the positions page.
April 2013: Genome Research publishes online
Interplay between chromatin state, regulator binding, and regulatory motifs in six human cell types by Ernst and Kellis.
The paper takes the #1 position on the journal's list of 'Top 10 Most Read Articles.'
April 2013: ScienceWatch ranks the
Ernst et al, Nature 2011 paper #6 for
'What's Hot In Biology' based on recent citation counts.
February 2013: Jason is selected as a 2013 Sloan Research Fellow.
See press releases from UCLA,
the University of California,
the Sloan Foundation, and the
New York Times ad.