The central role of the Bioinformatics team at CVVR is to apply state-of-the-art computational methods, and machine learning algorithms to analyze and integrate high throughput data sets to provide analytical tools and support in computational biology and bioinformatics to the broad CVVR community. We aim to accelerate genomics research and its applications in clinical practice by analyzing and integrating high throughput data sets such as bulk and single cell RNA-Seq; metabolome, proteome, cytokines and chemokines profiling, flow cytometry, and high-dimensional tissue imaging to generate and validate mechanistic hypotheses using human and animal models for HIV, SIV, TB, ZIKA, Yellow Fever, and COVID-19 studies.