oposSOM-Browser: an interactive tool to explore omics data landscapes in health science

Autor:	Henry Loeffler-Wirth, Jasmin Reikowski, Siras Hakobyan, Jonas Wagner, Hans Binder
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Interactive data analysis Transcriptomics Results browser Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
Zdroj:	BMC Bioinformatics, Vol 21, Iss 1, Pp 1-5 (2020)
Druh dokumentu:	article
ISSN:	1471-2105
DOI:	10.1186/s12859-020-03806-w
Popis:	Abstract Background oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. Results These 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. Conclusion The 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 .
Databáze:	Directory of Open Access Journals
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