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.
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