BioMiner: Paving the Way for Personalized Medicine

• Main Authors: Chris Bauer, Karol Stec, Alexander Glintschert, Kristina Gruden, Christian Schichor, Michal Or-Guil, Joachim Selbig, Johannes Schuchhardt
• Format: Article
• Language: English
• Published: SAGE Publishing 2015-01-01
• Series: Cancer Informatics
• Online Access: https://doi.org/10.4137/CIN.S20910

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.