Development and application of methods for the analysis of high-dimensional genetic and immunologic data

Abstract

Recent advances in computational biology and sequencing technologies have led to the development of assays that generate a large number of measurements on a large number of samples (individuals or single cells). Experimental approaches using these technologies can be applied to understand the basis of how human genetics and ecological factors interact with the immune system in causal pathways of disease. Unsurprisingly, these advances require synergy amongst complex statistical, visual, and quantitative analyses to successfully understand population-level and individual disease pathologies and their etiologies. The development of such methods and their application to data originating from population-level, cohort-level, and individual-level experiments is described herein, in areas ranging from HIV and its co-morbidities, to immune receptor analysis, and understanding immune-mediated hypersensitivity and toxicity.