| Title: | BioMiner |
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| Authors: | ID Selbig, Joachim (Author)
ID Gruden, Kristina (Author)
ID Or-Guil, Michal (Author)
ID Schichor, Christian (Author)
ID Bauer, Chris (Author)
ID Stec, Karol (Author)
ID Glintschert, Alexander (Author)
ID Schuchhardt, Johannes (Author) |
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| Files: |  URL - Presentation file, visit http://dx.doi.org/10.4137/CIN.S20910
 PDF - Presentation file, download (3,68 MB)
MD5: 6289D46B14EAADAA5158BE29BB6EBEAA
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  NIB - National Institute of Biology
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| 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. |
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| Keywords: | data mining, multiomics data integration, biomarker detection, pathway visualization, personalized medicine, cancer |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 20.04.2015 |
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| Year of publishing: | 2015 |
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| Number of pages: | str. 55-63 |
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| Numbering: | Vol. 14 |
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| PID: | 20.500.12556/DiRROS-5770  |
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| ISSN: | 1176-9351 |
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| UDC: | 575.112 |
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| DOI: | 10.4137/CIN.S20910 |
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| COBISS.SI-ID: | 3428687 |
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| Publication date in DiRROS: | 26.07.2024 |
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| Views: | 296 |
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| Downloads: | 215 |
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