Mark Borodovsky

Regents' Professor, Joint with Wallace H. Coulter Department of Biomedical Engineering

Dr. Borodovsky and his group develop machine learning algorithms for computational analysis of biological sequences: DNA, RNA and proteins. Our primary focus is on prediction of protein-coding genes and regulatory sites in genomic DNA. Probabilistic models play an important role in the algorithm framework, given the probabilistic nature of biological sequence evolution.

Bioinformatics PhD Coordinator


Center for Bioinformatics and Computational Genomics
College of Computing
School of Computational Science and Engineering