BioMiner
paving the way for personalized medicine
Abstract
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.
Keywords
data mining;multiomics data integration;biomarker detection;pathway visualization;personalized medicine;cancer;
Data
| Language: | English |
|---|---|
| Year of publishing: | 2015 |
| Typology: | 1.01 - Original Scientific Article |
| Organization: | NIB - National Institute of Biology |
| UDC: | 575.112 |
| COBISS: |
3428687
|
| ISSN: | 1176-9351 |
| Views: | 17 |
| Downloads: | 9 |
| Average score: | 0 (0 votes) |
| Metadata: |
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Other data
| Secondary language: | Unknown |
|---|---|
| Type (COBISS): | Not categorized |
| Pages: | str. 55-63 |
| Issue: | ǂVol. ǂ14 |
| Chronology: | 2015 |
| DOI: | 10.4137/CIN.S20910 |
| ID: | 9142287 |
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