z-logo
open-access-imgOpen Access
Fractalis: a scalable open-source service for platform-independent interactive visual analysis of biomedical data
Author(s) -
Sascha Herzinger,
Valentin Grouès,
Wei Gu,
Venkata Satagopam,
Peter Banda,
Christophe Trefois,
Reinhard Schneider
Publication year - 2018
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy109
Subject(s) - computer science , visualization , data science , scalability , service (business) , reuse , abstraction layer , software , data visualization , abstraction , world wide web , data mining , database , ecology , philosophy , economy , epistemology , biology , economics , programming language
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom