| BMC Bioinformatics | |
| oposSOM-Browser: an interactive tool to explore omics data landscapes in health science | |
| Siras Hakobyan1  Henry Loeffler-Wirth2  Jasmin Reikowski2  Hans Binder2  Jonas Wagner3  | |
| [1] Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, 7 Hasratyan str, 0014, Yerevan, Armenia;Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany;LIFE, Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Straße 27, 04103, Leipzig, Germany; | |
| 关键词: Interactive data analysis; Transcriptomics; Results browser; | |
| DOI : 10.1186/s12859-020-03806-w | |
| 来源: Springer | |
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【 摘 要 】
BackgroundoposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization.ResultsThese functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular ‘portrait landscapes’, of associated phenotype diversity, and signalling pathway activation patterns.ConclusionThe oposSOM-Browser makes available interactive data browsing for five transcriptome data sets of cancer (melanomas, B-cell lymphomas, gliomas) and of peripheral blood (sepsis and healthy individuals) at www.izbi.uni-leipzig.de/opossom-browser.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202104279840638ZK.pdf | 982KB |
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