Khan Publishes Paper on the Impact of Regulatory Variation

A paper co-authored by Zia Khan, an assistant professor of computer science with joint appointments in UMIACS and the Center for Bioinformatics and Computational Biology, was recently published in Science magazine.

The paper, "Impact of regulatory variation from RNA to protein," presents a unified analysis of the association of genetic variation with transcript expression, ribosome profiling and steady state protein levels. Studies like this are important because to understand the links between genetic and phenotypic variation, it may be essential to first understand how genetic variation impacts the regulation of gene expression.

Khan’s research focuses on computational biology and bioinformatics. He works to develop computational methods and algorithms for biological data analysis.

Read the full paper here.