BioMinerSelbig, Joachim (Avtor) Gruden, Kristina (Avtor) Or-Guil, Michal (Avtor) Schichor, Christian (Avtor) Bauer, Chris (Avtor) Stec, Karol (Avtor) Glintschert, Alexander (Avtor) Schuchhardt, Johannes (Avtor) data miningmultiomics data integrationbiomarker detectionpathway visualizationpersonalized medicinecancerPersonalized 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.20152016-05-11 03:57:56Delo ni kategorizirano5770ISSN: 1176-9351UDK: 575.112DOI: 10.4137/CIN.S20910COBISS_ID: 3428687OceCobissID: 515783193sl