DocumentCode
48061
Title
Visual Analytics for Biological Data
Author
Machiraju, Raghu ; Gorg, Carsten ; Olson, Arthur
Author_Institution
The Ohio State University
Volume
34
Issue
2
fYear
2014
fDate
Mar.-Apr. 2014
Firstpage
24
Lastpage
25
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;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/MCG.2014.38
Filename
6777440
Link To Document