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<h1 id="welcome-to-jravilab">Welcome to JRaviLab!</h1>
<h2 id="i-classfab-fa-githubihttpsgithubcomjravilab-i-classfab-fa-twitterihttpstwittercomjravilab">
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<p>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.</p>
<p>Specifically, we focus on two key questions:</p>
<ol>
<li>How do we link microbial genotypes to phenotypic traits?</li>
<li>How do we delineate molecular mechanisms underlying host response to infection and discover host-directed therapeutics?</li>
</ol>
<p>Along with the scientific pursuit, 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.</p>
<h2 id="keywords">Keywords</h2>
<p>Computational biology & Bioinformatics | Molecular evolution & phylogeny | Comparative pathogenomics | Molecular drug/vaccine discovery | Microbial pathogenesis | Infectious diseases | Data analysis & visualization</p>
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<h3>Computational Biology</h3>
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