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BioMiner: Paving the Way for Personalized Medicine
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406277/ https://www.ncbi.nlm.nih.gov/pubmed/26005322 http://dx.doi.org/10.4137/CIN.S20910 |
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author | Bauer, Chris Stec, Karol Glintschert, Alexander Gruden, Kristina Schichor, Christian Or-Guil, Michal Selbig, Joachim Schuchhardt, Johannes |
author_facet | Bauer, Chris Stec, Karol Glintschert, Alexander Gruden, Kristina Schichor, Christian Or-Guil, Michal Selbig, Joachim Schuchhardt, Johannes |
author_sort | Bauer, Chris |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4406277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-44062772015-05-22 BioMiner: Paving the Way for Personalized Medicine Bauer, Chris Stec, Karol Glintschert, Alexander Gruden, Kristina Schichor, Christian Or-Guil, Michal Selbig, Joachim Schuchhardt, Johannes Cancer Inform Technical Advance 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. Libertas Academica 2015-04-20 /pmc/articles/PMC4406277/ /pubmed/26005322 http://dx.doi.org/10.4137/CIN.S20910 Text en © 2015 the authors, publisher and licensee Libertas Academica Limited. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Technical Advance Bauer, Chris Stec, Karol Glintschert, Alexander Gruden, Kristina Schichor, Christian Or-Guil, Michal Selbig, Joachim Schuchhardt, Johannes BioMiner: Paving the Way for Personalized Medicine |
title | BioMiner: Paving the Way for Personalized Medicine |
title_full | BioMiner: Paving the Way for Personalized Medicine |
title_fullStr | BioMiner: Paving the Way for Personalized Medicine |
title_full_unstemmed | BioMiner: Paving the Way for Personalized Medicine |
title_short | BioMiner: Paving the Way for Personalized Medicine |
title_sort | biominer: paving the way for personalized medicine |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406277/ https://www.ncbi.nlm.nih.gov/pubmed/26005322 http://dx.doi.org/10.4137/CIN.S20910 |
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