Developing a Web-enabled and graphics-enhanced collaborative environment for integrated research of cardiovascular and atherosclerotic clinical biology

Yiyu Cai, L. Khoo, Z. Xiong, B. Lu, Y. Guan, S. Wong, C. R. Cao, T. K. Tan, Kenneth Yu, M. Opas, S. Fok
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引用次数: 2

Abstract

Coronary heart disease (CHD) is one of the leading killers worldwide. Lipoprotein and apolipoprotein play an important role in developing CHDs. To tackle the challenging task of CHD lipoprotein and atherosclerotic research, collaborative work is crucial. With an interdiscipline in nature, such research involves bio-chemistry, cardiovascular biology, lipoprotein structure, fluorescent imaging, 3D modelling, data mining, etc. This project aims to create a Web based and integrated solution to support a multi-disciplinary knowledge discovery process for the study of cardiovascular and atherosclerotic biology. The emphasis of the project is to address (1) the sharing of cardiovascular clinical data; and (2) the system integration for CHD cardiovascular research. The system currently under development is mainly implemented on a PC Window platform with an intranet-centric design. An Apache HTTP server, a MySQL SQL server, Perl, and R Language, are employed for the system development independent to hardware platforms. The system offers easy information management and data sharing by multiple parties across Internet. Major datasets include lipoprotein phenotype/genotype and laser confocal images. A user-friendly interface is designed allowing users to deposit, retrieve, visualize and analyze the CHD information from different sites.
为心血管和动脉粥样硬化临床生物学的综合研究开发一个网络支持和图形增强的协作环境
冠心病(CHD)是世界范围内的主要杀手之一。脂蛋白和载脂蛋白在冠心病的发生中起重要作用。为了解决冠心病脂蛋白和动脉粥样硬化研究的挑战性任务,协作工作至关重要。涉及生物化学、心血管生物学、脂蛋白结构、荧光成像、三维建模、数据挖掘等跨学科研究。该项目旨在创建一个基于Web的集成解决方案,以支持心血管和动脉粥样硬化生物学研究的多学科知识发现过程。该项目的重点是解决(1)心血管临床数据的共享;(2)冠心病心血管研究的系统集成。目前正在开发的系统主要是在PC windows平台上实现的,采用以内部网为中心的设计。系统开发采用Apache HTTP服务器、MySQL SQL服务器、Perl语言和R语言,独立于硬件平台。该系统提供了方便的信息管理和数据共享多方通过互联网。主要数据集包括脂蛋白表型/基因型和激光共聚焦图像。设计了一个用户友好的界面,允许用户存放、检索、可视化和分析来自不同站点的CHD信息。
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