We develop general-purpose computational approaches that integrate large-scale heterogeneous public datasets that lead to the mechanistic understanding of microbial genotypes, phenotypes, and diseases.
Specifically, we focus on two key questions:
- How do we link microbial genotypes to phenotypic traits?
- How do we delineate molecular mechanisms underlying host response to infection and discover host-directed therapeutics?
Along with the scientific pursuit involving bugs and drugs (:microbe: + :pill:), we release open data/software and easy-to-use web-servers for wide use by the biomedical community. We also focus on community engagement, education, and outreach (check out our orgs, R-Ladies Aurora, R-Ladies East Lansing, Women+ Data Science, and AsiaR.
Computational biology & Bioinformatics | Molecular evolution & phylogeny | Comparative pathogenomics | Molecular drug/vaccine discovery | Microbial pathogenesis | Infectious diseases | Data analysis & visualization
Mycobacteria | ESKAPE pathogens (incl. Staph, Pseudomonas) | Bacillus anthracis | Spirobacilli | Legionella | Listeria
Is your favorite 🦠/disease is missing? reach out to us! 👇
