Research Professor
Primary Department
Biochemistry and Molecular Medicine
Affiliation
School of Medicine and Health Sciences
Research Interests
Dr. Horvath’s research identifies biologically significant trends from Next Generation Sequencing (NGS) datasets. They develop novel strategies for logical mining of NGS data to extract meaningful sets of high-priority molecules and develop algorithms that quantitatively overlay matching DNA and RNA sequence layers to interlink encoded and regulatory genomic features. The lab applies these methodologies to disease conditions, including cancer, with a particular focus on Breast Cancer. Dr. Horvath’s goal is to identify molecules and pathways for novel diagnostic and preventive strategies.
Keywords
High-Throughput Nucleotide Sequencing, Genomics, Algorithms, DNA, Neoplasms, bioinformatics
Research Level
T0 / T1: Basic Science Discovery and Initial Translation to Humans
Research Method(s)
Next Generation Sequencing (NGS)
Mining of NGS data
Apply NGS data to breast cancer
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