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Mar.-Apr. 2014 (vol. 34 no. 2)
pp. 24-25
Raghu Machiraju, The Ohio State University
Carsten Gorg, University of Colorado Medical School
Arthur Olson, The Scripps Research Institute
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.
Index Terms:
Special issues and sections,Data visualization,Visual analytics,Ontologies,Knowledge representation,Information retrieval,Biology,Data communication,computer graphics,visual analytics,biological data,big data,cancer subtypes,Caleydo,phylogenetic trees,StratomeX
Citation:
Raghu Machiraju, Carsten Gorg, Arthur Olson, "Visual Analytics for Biological Data," IEEE Computer Graphics and Applications, vol. 34, no. 2, pp. 24-25, Mar.-Apr. 2014, doi:10.1109/MCG.2014.38
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