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Abstract:
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The last decade has seen a tremendous increase in the availability of varied types of genomics data. Specifically, generation of multi-omic datasets is well underway in large cohort studies, with the goal of identifying interpretable genomics patterns that are associated with rare and complex human traits. Here, we describe recent approaches for integrating such multi-omics datasets, in order to predict the impact of genetic variation at multiple cellular traits, with the ultimate goal of utilizing such predictions in order to understand genomics of rare and common human disease.
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