Caleydo Web: An Integrated Visual Analysis Platform for Biomedical Data

Abstract

In many science domains data analysis has replaced data acquisition, generation, and storage as the main challenge. This challenge stems not only from volume but also from complexity and heterogeneity of the data. Molecular biology is a prime example for this trend. We identified six key aspects that a visual analysis platform for biological data should support. We address these aspects with the development of Caleydo Web. In this poster we describe its architecture and give an example of how it can be used to create StratomeX.js, a sophisticated visualization technique for cancer subtype characterization.

Citation

S Gratzl, N Gehlenborg, A Lex, H Strobelt, C Partl, M Streit. “Caleydo Web: An Integrated Visual Analysis Platform for Biomedical Data”, Poster Compendium of the IEEE Conference on Information Visualization (InfoVis’ 15) (2015).