DocumentCode :
3023365
Title :
Dynamic scalable visualization for collaborative scientific applications
Author :
Li, Kai ; Hibbs, Matthew ; Wallace, Grant ; Troyanskaya, Olga
Author_Institution :
Dept. of Comput. Sci., Princeton Univ., NJ, USA
fYear :
2005
fDate :
4-8 April 2005
Abstract :
Science disciplines are experiencing a data avalanche. As a result, scientific research is limited by data analysis and visualization capabilities. We have been working closely with genomic and plasma physics researchers on effective data visualization software tools. This paper reports our research on developing software tools for high-resolution display walls to alleviate the current limitation on visualization resolution and single-user window system. In the first case, we developed a novel data visualization tools for genomic data visualization that is dynamic and scale free. In the second case, we have developed a multi-cursor window system for shared data visualization for a collaborative environment. We have deployed both software tools to the scientific researchers. Our initial feedbacks show that these approaches have made significant impact on their productivity.
Keywords :
biology computing; data visualisation; genetics; molecular biophysics; collaborative scientific application; data analysis; data visualization software tool; dynamic scalable visualization; genomic data visualization; multicursor window system; Application software; Bioinformatics; Collaboration; Collaborative work; Data analysis; Data visualization; Genomics; Plasma applications; Plasma displays; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
Type :
conf
DOI :
10.1109/IPDPS.2005.183
Filename :
1420140
Link To Document :
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