Reference : Fractalis: A scalable open-source service for platform-independent interactive visual...

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/36438

Title :	Fractalis: A scalable open-source service for platform-independent interactive visual analysis of biomedical data
Language :	English
Author, co-author :	Herzinger, Sascha [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Groues, Valentin [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Gu, Wei [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Satagopam, Venkata [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Banda, Peter [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Trefois, Christophe [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
	Schneider, Reinhard [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Publication date :	27-Aug-2018
Journal title :	GigaScience
Peer reviewed :	Yes
Audience :	International
Keywords :	[en] web service ; visual analytics ; explorative analysis
Abstract :	[en] Background: Translational research platforms share the aim to promote 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. Findings: 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. Conclusion: 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 hypothesis. Furthermore, it provides a framework that can be used to share and reuse explorative analysis tools within the community.
Research centres :	Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Name of the research project :	S-STR-4029 > LCSB ELIXIR > 01/01/2016 - 31/12/2018 > SCHNEIDER Reinhard, NCER
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/36438
DOI :	10.1093/gigascience/giy109
Other URL :	http://dx.doi.org/10.1093/gigascience/giy109

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