• 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 • 上一篇    下一篇

分子结构与基因序列数据综合可视化方法研究

宋成龙,邹辰,王文珂,李思昆   

  1. (国防科学技术大学高性能计算国家重点实验室,湖南 长沙 410073)
  • 收稿日期:2013-08-05 修回日期:2013-10-13 出版日期:2013-12-25 发布日期:2013-12-25
  • 基金资助:

    国家自然科学基金资助项目(61202335)

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

摘要:

随着系统生物学的兴起和迅速发展,为了探索不同生物层次信息之间的关联关系,对不同层次生物

科学计算数据综合可视化的需求日益迫切。提出了一种通过构建集成框架实现分子结构与基因组序列数据

的综合可视化方法。综合可视化集成框架可实现不同层次可视化工具统一管理以及统一用户交互界面,通

过定义关联数据描述方法,建立已有的分子结构与基因组序列数据间的关联性,有效支持分子结构数据与

基因序列数据的综合可视化功能开发。应用该方法开发了一个分子结构数据与基因序列数据综合可视化原

型系统,实现了分子结构数据与基因序列数据的同步显示、基因片段与相应分子局部空间结构综合显示等

综合可视化功能。初步应用与分析表明,所提出的综合集成可视化方法扩展性好,所实现的综合可视化功

能在研究分子结构及基因序列数据关联关系中具有良好的应用前景。

关键词: 科学可视化, 分子结构可视化, 基因序列可视化, 综合可视化, 集成框架, 数据关联

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