borodovsky@gatech.edu
Website
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.
Regents' Professor
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
Phone
404-894-8432
Office
EBB 2105
Additional Research
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 Focus Areas
IRI And Role
University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?user=ciQ3dn0AAAAJ&hl=en&oi=ao