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

Dataset type: Software
Data released on August 24, 2018

Herzinger S; Grouès V; Gu W; Satagopam V; Banda P; Trefois C; Schneider R (2018): Supporting data for "Fractalis: A scalable open-source service for platform-independent interactive visual analysis of biomedical data" GigaScience Database. http://dx.doi.org/10.5524/100497

DOI10.5524/100497

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. 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 hypothesis. Furthermore, it provides a framework that can be used to share and reuse explorative analysis tools within the community.

Additional details

Read the peer-reviewed publication(s):

Herzinger, S., Grouès, V., Gu, W., Satagopam, V., Banda, P., Trefois, C., & Schneider, R. (2018). Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data. GigaScience, 7(9). doi:10.1093/gigascience/giy109

Additional information:

https://github.com/LCSB-BioCore/Fractalis

https://portal.gdc.cancer.gov/repository

https://github.com/LCSB-BioCore/Fractal.js





File NameSample IDData TypeFile FormatSizeRelease Date 
Github archivearchive4.42 MB2018-08-21
Github archivearchive215.94 KB2018-08-21
ReadmeTEXT1.88 KB2018-08-21
Displaying 1-3 of 3 File(s).
Funding body Awardee Award ID Comments
FNR Luxembourg NCER13/BM/11264123 National Centre of Excellence in Research (NCER) on Parkinson’s disease
Date Action
August 24, 2018 Dataset publish
August 28, 2018 Manuscript Link added : 10.1093/gigascience/giy109