Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.
Peipei Ping, Henning Hermjakob, Jennifer S Polson, Panagiotis V Benos, Wei Wang
Author Information
Peipei Ping: 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.
Henning Hermjakob: 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.).
Jennifer S Polson: 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.).
Panagiotis V Benos: Departments of Computational & Systems Biology, School of Medicine, University of Pittsburgh, PA (P.V.B.).
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.).
In 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.
