Develop computational techniques to contribute to research in microbiology, evolution, proteomics and glycomics, systems biology, and human disease.See faculty in bioinformatics & computational biology
Combining computing with biology to discover groundbreaking insights
Creation of computational tools for microbiome research.
Computational methods for glycomics and glocoproteomics, peptide/protein indentifican and quantification using mass spectrometry.
Evolution Comparative Genomics
Study the evolution of gene families, population genomics, gene cluster analysis.
Algorithms for string pattern matching, motif discovery, fragment assembly, RNA structure prediction, genome alignent/compression and segmental duplications.
Investigate disease ontology, cancer genomics, and infectious diseases.
Research biochemical pathways, data integration, discovery in gene/protein networks.