Develop computational techniques to contribute to research in microbiology, evolution, proteomics and glycomics, systems biology, and human disease.
Combining computing with biology to discover groundbreaking insights
Subareas
Computational Metagenomics
Creation of computational tools for microbiome research.
Proteomics
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.
Sequence Analysis
Algorithms for string pattern matching, motif discovery, fragment assembly, RNA structure prediction, genome alignent/compression and segmental duplications.
Human Diseases
Investigate disease ontology, cancer genomics, and infectious diseases.
Systems Biology
Research biochemical pathways, data integration, discovery in gene/protein networks.
Associated centers, groups, and labs
- Biocomplexity Institute
- Center for Bioinformatics Research
- Center for Genomics and Bioinformatics