BioMiner: Paving the Way for Personalized Medicine
| Autor: | Christian Schichor, Kristina Gruden, Karol Stec, Alexander Glintschert, Michal Or-Guil, Johannes Schuchhardt, Christopher F. Bauer, Joachim Selbig |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
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Cancer Research Evidence-based practice Scope (project management) business.industry data mining personalized medicine Bioinformatics Login lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Health informatics lcsh:RC254-282 pathway visualization Visualization Variety (cybernetics) World Wide Web Oncology Technical Advance Medicine cancer Personalized medicine business multiomics data integration biomarker detection |
| Zdroj: | Cancer Informatics, Vol 14 (2015) Cancer Informatics, Vol 2015, Iss 14, Pp 55-63 (2015) Cancer Informatics |
| ISSN: | 1176-9351 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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