A technique for visualizing dihedral signal of large protein sequences

Nguyen, QV; Huang, ML; Qian, Y; Zhang, K

A technique for visualizing dihedral signal of large protein sequences

Nguyen, QV Huang, ML

Qian, Y Zhang, K

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Publication Type:: Conference Proceeding
Citation:: Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, 2006, 2006 pp. 6 - 11
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Nguyen, QV	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Qian, Y	en_US
dc.contributor.author	Zhang, K	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, 2006, 2006 pp. 6 - 11	en_US
dc.identifier.isbn	0769526063	en_US
dc.identifier.isbn	9780769526065	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2724
dc.description.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. © 2006 IEEE.	en_US
dc.relation.ispartof	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06	en_US
dc.relation.isbasedon	10.1109/CGIV.2006.12	en_US
dc.title	A technique for visualizing dihedral signal of large protein sequences	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2006	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Prague, the Czech Republic
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2006	en_US

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. © 2006 IEEE.

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http://hdl.handle.net/10453/2724