Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data

GigaScience
Sascha HerzingerReinhard Schneider

Abstract

Translational research platforms share the aim of promoting a deeper understanding of stored data by providing visualization and analysis tools for data exploration and hypothesis generation. However, such tools are usually platform bound and are not easily reusable by other systems. Furthermore, they rarely address access restriction issues when direct data transfer is not permitted. In this article, we present an analytical service that works in tandem with a visualization library to address these problems. Using a combination of existing technologies and a platform-specific data abstraction layer, we developed a service that is capable of providing existing web-based data warehouses and repositories with platform-independent visual analytical capabilities. The design of this service also allows for federated data analysis by eliminating the need to move the data directly to the researcher. Instead, all operations are based on statistics and interactive charts without direct access to the dataset. The software presented in this article has a potential to help translational researchers achieve a better understanding of a given dataset and quickly generate new hypotheses. Furthermore, it provides a framework that can be used to...Continue Reading

References

Mar 2, 2010·Journal of the American Medical Informatics Association : JAMIA·Shawn N MurphyIsaac Kohane
Apr 4, 2013·Science Signaling·Jianjiong GaoNikolaus Schultz
Feb 19, 2015·Contemporary Oncology Współczesna Onkologia·Katarzyna TomczakMaciej Wiznerowicz
Apr 16, 2015·Nature Communications·Pengcheng BuXiling Shen
Sep 27, 2016·Nature Communications·Zichen WangAvi Ma'ayan
Mar 24, 2017·Bioinformatics·Sascha HerzingerUNKNOWN eTRIKS Consortium
Feb 9, 2018·Bioinformatics·Zichen WangAvi Ma'ayan

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Citations

Apr 3, 2019·BMC Bioinformatics·Wei GuUNKNOWN IMI OncoTrack and the IMI eTRIKS consortia
Jan 8, 2021·Annals of the New York Academy of Sciences·Farzane AmirmahaniMichael R Hamblin

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Key Resources (RRID) Mentioned

SCR_016362

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Windows
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Plotly
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MicroETL
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