• Peipei Ping, Henning Hermjakob, Jennifer S Polson, Panagiotis V Benos, and Wei Wang.
• From the NIH BD2K Center of Excellence for Biomedical Computing at UCLA (HeartBD2K), Los Angeles, CA (P.P., H.H., J.S.P., W.W.) ppingucla@gmail.com.
• Circ. Res. 2018 Apr 27; 122 (9): 1290-1301.

AbstractIn the digital age of cardiovascular medicine, the rate of biomedical discovery can be greatly accelerated by the guidance and resources required to unearth potential collections of knowledge. A unified computational platform leverages metadata to not only provide direction but also empower researchers to mine a wealth of biomedical information and forge novel mechanistic insights. This review takes the opportunity to present an overview of the cloud-based computational environment, including the functional roles of metadata, the architecture schema of indexing and search, and the practical scenarios of machine learning-supported molecular signature extraction. By introducing several established resources and state-of-the-art workflows, we share with our readers a broadly defined informatics framework to phenotype cardiovascular health and disease.© 2018 American Heart Association, Inc.

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