Director, Center for Bioinformatics and Computational Genomics
Senior Advisor in Bioinformatics, Division of High Consequence Pathogens and Pathology, Centers for Disease Control and Prevention in Atlanta
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.
Georgia Institute of Technology
Development and applicaton of new machine learning and pattern recognition methods in bioinformatics and biological systems. Development and applicaton of new machine learning and pattern recognition methods in bioinformatics and biological systems. Chromatin; Epigenetics; Bioinformatics
Research Affiliations: Center for Nanobiology of the Macromolecular Assembly Disorders - NanoMAD