Title :
Visualization of high throughput biological data
Author :
Zhang, Leishi ; Kuljis, Jasna ; Liu, Xiaohui
Author_Institution :
Univ. of Konstanz, Konstanz, Germany
Abstract :
The rapid advances in high throughput biotechnology pose great challenges to the data analysis and visualization community. The sheer volume of data and complex biological problems that need to be answered increase the demand for effective data analysis and visualization tools which provide intuitive visual representation and allow full exploitation of the data. In this paper, we examine various visualization techniques that have been applied to high throughput biological data analysis. Several key problem areas as well as possible solutions are explored, and some challenging open issues are highlighted.
Keywords :
biology computing; biotechnology; data analysis; data visualisation; biotechnology; data analysis; data visualization tools; high throughput biological data; Bioinformatics; High Throughput Biotechnology; Information Visualization;
Conference_Titel :
Information Technology Interfaces (ITI), Proceedings of the ITI 2012 34th International Conference on
Conference_Location :
Cavtat, Dubrovnik
Print_ISBN :
978-1-4673-1629-3
DOI :
10.2498/iti.2012.0380