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Bauer, Chris; Stec, Karol; Glintschert, Alexander; Gruden, Kristina; Schichor, Christian; Or-Guil, Michal; Selbig, Joachim und Schuchhardt, Johannes (2015): BioMiner: Paving the Way for Personalized Medicine. In: Cancer informatics, Bd. 14: S. 55-63

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Abstract

Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool "BioMiner," which was developed within the scope of an international and interdisciplinary project (SYSTHER+) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/,login and password: "systher";a tutorial detailing the usage of BioMiner can be found in the Supplementary File.

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