Title :
Visual Analytics for Biological Data
Author :
Machiraju, Raghu ; Gorg, Carsten ; Olson, Arthur
Author_Institution :
The Ohio State University
Abstract :
The preeminence of a systems approach in the biological and other life sciences creates enormous challenges for computational visualization techniques to enable researchers to gain insight from their large, highly complex, and multiple datasets. This special issue presents articles describing applications of visual-analytics techniques to yield viable results that are biologically relevant and significant.
Keywords :
Biology; Data communication; Data visualization; Information retrieval; Knowledge representation; Ontologies; Special issues and sections; Visual analytics; Caleydo; StratomeX; big data; biological data; cancer subtypes; computer graphics; phylogenetic trees; visual analytics;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2014.38
