Roy Lab




We are a computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. We are interested in identifying networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and constructing predictive models from these networks. This can help us understand (1) how environmental information is processed in cells to mount appropriate condition-specific responses, (2) how these networks change across different contexts such as environmental stresses, cell-types, tissues, diseases, and, (3) how these networks have evolved to suit organism life-style and habitat. Most important, by comparing such networks across many different contexts, we can identify the general organizational principles as well as notable exceptions that underlie condition-specific and organism-specific behavior.

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latest updates


Sep 1st, 2015

Check out our new Computational Network biology class!

May 20th, 2015

Debbie wins best talk award at GLBIO 2015! Congrats Debbie!

Oct 28th, 2014

Sara and Ali's Cancer Informatics paper published!

Sep 1st, 2014

Debbie Chasman joins the lab. Welcome Debbie!

Aug 8th, 2014

Sushmita receives NSF CAREER award.

Feb 18, 2014

Sushmita wins a Sloan fellowship.

Feb 14, 2014

Ali passes the PhD qualifying exam. Congrats Ali!

Oct 17, 2013

MERLIN paper published

June 15, 2013

Paper on yeast gene regulation evolution published in eLife

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