BioMiner: Paving the Way for Personalized Medicine

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...

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Published in:Cancer informatics 2015-04, Vol.14, p.55-63
Main Authors: Bauer, Chris, Stec, Karol, Glintschert, Alexander, Gruden, Kristina, Schichor, Christian, Or-Guil, Michal, Selbig, Joachim, Schuchhardt, Johannes
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Technical Advance
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container_issue
container_start_page 55
container_title Cancer informatics
container_volume 14
creator Bauer, Chris
Stec, Karol
Glintschert, Alexander
Gruden, Kristina
Schichor, Christian
Or-Guil, Michal
Selbig, Joachim
Schuchhardt, Johannes
description 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.
doi_str_mv 10.4137/CIN.S20910
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title BioMiner: Paving the Way for Personalized Medicine
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