A Technique for Visualizing Dihedral Signal of Large Protein Sequences

Author

Nguyen, Quang Vinh ; Huang, Mao Lin ; Qian, Yu ; Zhang, Kang

Author_Institution

Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW

fYear

2006

fDate

26-28 July 2006

Firstpage

6

Lastpage

11

Abstract

This paper presents a clustering and visualization technique for analyzing dihedral angles of large protein sequences. The clustering is used for discovering and grouping those similar dihedrals while the visualization can display and navigate sequences of dihedral angles of several proteins as well as their clustered property. In order to visualize a very large sequence of hundred thousands of dihedral signals, we plot them on a spiral coordinate system. This spiral visualization ensures the linear distribution without distortion or interruption of a very long sequence of points. A clustering algorithm is also provided to group those dihedral signals into different clusters so that it can enhance the analysis process. Our system can also zoom to display a number of selected proteins interactively

Keywords

biology computing; data visualisation; pattern clustering; proteins; sequences; clustering algorithm; dihedral signal; large protein sequence; spiral coordinate system; visualization technique; Clustering algorithms; Displays; Genetics; Image databases; Information technology; Navigation; Proteins; Spirals; Visual databases; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualisation, 2006 International Conference on

Conference_Location

Sydney, Qld.

Print_ISBN

0-7695-2606-3

Type

conf

DOI

10.1109/CGIV.2006.12

Filename

1663760