DocumentCode
144639
Title
NetCompare: A visualization tool for network alignment on Galaxy
Author
Jiang Xie ; Chaojuan Xiang ; Zhonghua Zhou ; Dongbo Dai ; Huiran Zhang
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Volume
2
fYear
2014
fDate
26-28 April 2014
Firstpage
881
Lastpage
884
Abstract
Network alignment has made great progress and provides new insights into protein function. To visualize the results effectively is difficult because of the large scale network. In this paper, a simple tool named Network Compare (NetCompare) is proposed to visualize and analyze the network alignment results. Firstly, multi-hierarchical clustering method is used to cluster the large aligned networks. Secondly, at each clustering level, users can select the layout method which they prefer to display the results. NetCompare offers both the global and the local views. The global views briefly regard one subnet as one “node”, and the local views display the details including node information. When users submit the matched nodes of aligned networks, the matched subnets can be described as well. Both the clustering and the drawing processes are parallelized on GPU which offers short response time in the analysis of very huge protein interaction networks. NetCompare is implemented on the local version of Galaxy platform.
Keywords
biology computing; data visualisation; graphics processing units; molecular biophysics; proteins; GPU; large scale network; multihierarchical clustering method; network alignment; network compare; protein-protein interaction networks; response time; visualization tool; Algorithm design and analysis; Bioinformatics; Clustering algorithms; Compounds; Layout; Proteins; Galaxy; Multi-Hierarchical Clustering; network alignment; visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6947794
Filename
6947794
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