Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases.

ABSTRACT: Translational medicine is a domain turning results of basic life science research into new tools and methods in a clinical environment, for example, as new diagnostics or therapies. Nowadays, the process of translation is supported by large amounts of heterogeneous data ranging from medical data to a whole range of -omics data. It is not only a great opportunity but also a great challenge, as translational medicine big data is difficult to integrate and analyze, and requires the involvement of biomedical experts for the data processing. We show here that visualization and interoperable workflows, combining multiple complex steps, can address at least parts of the challenge. In this article, we present an integrated workflow for exploring, analysis, and interpretation of translational medic

SUBMITTER: Satagopam V 

PROVIDER: S-EPMC4932659 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature