• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (12): 26-33.

• 论文 • Previous Articles     Next Articles

Research on comprehensive visualization method
of molecular structure and gene sequence data  

SONG Chenglong,ZOU Chen,WANG Wenke,LI Si kun   

  1. (State Key Laboratory of High Performance Computing,National University of Defense Technology,Changsha 410073,China)
  • Received:2013-08-05 Revised:2013-10-13 Online:2013-12-25 Published:2013-12-25

Abstract:

With the rise and the rapid development of system

biology, in order to explore the relationship between different levels of Bioinformatics

relevance, the need of comprehensive visualization of biological scientific computing data

at different levels is increasingly urgent. A method of constructing an integration

framework to realize the comprehensive visualization of molecular structure data and genomic

sequence data is proposed. The visualization integration framework can achieve the unified

management and unified GUI for different levels of visualization tools. By defining the

method of describing the associated data, the framework realizes the integration of exiting

molecular structure data and genomic sequence data and effectively supports the development

of integrated function for visual molecular structure data and genomic sequence data. The

method is used to develop a comprehensive visualization prototype system of molecular

structure data and gene sequence data, realizing comprehensive visualization functions such

as the synchronous display of both molecular structure data and genomic sequence data, and

the display of the gene fragments and the local space structure of related molecular, and so

on. Preliminary application and analysis show that the comprehensive visualization method is

proposed with good scalability. The realized comprehensive visualization functions have good

application prospects for studying the incidence relationship between molecular structure

data and genomic sequence data.

Key words: scientific visualization;molecular structure visualization;genomic sequence visualization;synthesized visualization;integration framework;data relevance