معرفی
Mark Borodovsky is a Regents' Professor at Georgia Institute of Technology, jointly affiliated with the Wallace H. Coulter Department of Biomedical Engineering and the School of Computational Science and Engineering within the College of Computing. His research focuses on developing machine learning algorithms for computational analysis of biological sequences, particularly DNA, RNA, and proteins. He specializes in predicting protein-coding genes and regulatory sites in genomic DNA using probabilistic models and extrinsic data integration.
As the Bioinformatics PhD Coordinator, he oversees interdisciplinary training in computational biology. His work emphasizes automated genome annotation tools like GeneMark-ETP and BRAKER3, which utilize RNA-seq and protein evidence for accurate gene prediction in eukaryotic and prokaryotic genomes. These tools address challenges in plant, animal, and microbial genomics, including phage and metagenomic studies.
His research also explores frameshift detection in prokaryotic genomes, transcriptome-based annotation, and computational methods for analyzing large-scale genomic datasets. Collaborations span institutions like Emory University and the Georgia Tech-Emory biomedical engineering program.
Borodovsky’s lab develops open-source bioinformatics pipelines, contributing to advancements in genome assembly, comparative genomics, and functional genomics. His work bridges computational methods with practical applications in agriculture, medicine, and environmental microbiology.
