Wednesday, March 22, 2017

B - Translational medicine data

Satagopam V, Gu W, Eifes S, et al. Integration and visualization of translational medicine data for better understanding of human diseases. Big Data 2016;4(2):97-108
(doi: 10.1089/big.2015.0057)

The authors present an integrated workflow for exploring, analysis, and interpretation of translational medicine data in the context of human health. Three Web services—tranSMART, a Galaxy Server, and a MINERVA platform—are combined into one big data pipeline. Native visualization capabilities enable the biomedical experts to get a comprehensive overview and control over separate steps of the workflow. The workflow is available as a sandbox environment, where readers can work with the described setup themselves. This work shows how visualization and interfacing of big data processing services facilitate exploration, analysis, and interpretation of translational medicine data.
http://online.liebertpub.com/doi/abs/10.1089/big.2015.0057

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