BioMiner: Paving the Way for Personalized Medicine

被引:8
作者
Bauer, Chris [1 ]
Stec, Karol [1 ]
Glintschert, Alexander [1 ]
Gruden, Kristina [2 ]
Schichor, Christian [3 ]
Or-Guil, Michal [4 ,5 ]
Selbig, Joachim [6 ]
Schuchhardt, Johannes [1 ]
机构
[1] MicroDiscovery GmbH, Res & Dev, Berlin, Germany
[2] Natl Inst Biol, Dept Biotechnol & Syst Biol, Ljubljana, Slovenia
[3] Univ Munich, Dept Neurosurg, Klinikum, Munich, Germany
[4] Humboldt Univ, Dept Biol, Syst Immunol Lab, Berlin, Germany
[5] Charite, Res Ctr ImmunoSci, Berlin, Germany
[6] Univ Potsdam, Inst Biochem & Biol, Potsdam, Germany
来源
CANCER INFORMATICS | 2015年 / 14卷
关键词
data mining; multiomics data integration; biomarker detection; pathway visualization; personalized medicine; cancer;
D O I
10.4137/CIN.S20910
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:55 / 63
页数:9
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