Advancing clinical cohort selection with genomics analysis on a distributed platform.

ABSTRACT: The affordability of next-generation genomic sequencing and the improvement of medical data management have contributed largely to the evolution of biological analysis from both a clinical and research perspective. Precision medicine is a response to these advancements that places individuals into better-defined subsets based on shared clinical and genetic features. The identification of personalized diagnosis and treatment options is dependent on the ability to draw insights from large-scale, multi-modal analysis of biomedical datasets. Driven by a real use case, we premise that platforms that support precision medicine analysis should maintain data in their optimal data stores, should support distributed storage and query mechanisms, and should scale as more samples are added to the syst

SUBMITTER: Smith JM 

PROVIDER: S-EPMC7179830 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature