Shegogue Daniel, Zheng W Jim
Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, 135 Cannon Street, PO Box 250835, Charleston, SC 29425, USA.
Bioinformatics. 2005 May 15;21(10):2502-9. doi: 10.1093/bioinformatics/bti344. Epub 2005 Feb 24.
The importance of studying biology at the system level has been well recognized, yet there is no well-defined process or consistent methodology to integrate and represent biological information at this level. To overcome this hurdle, a blending of disciplines such as computer science and biology is necessary.
By applying an adapted, sequential software engineering process, a complex biological system (severe acquired respiratory syndrome-coronavirus viral infection) has been reverse-engineered and represented as an object-oriented software system. The scalability of this object-oriented software engineering approach indicates that we can apply this technology for the integration of large complex biological systems.
A navigable web-based version of the system is freely available at http://people.musc.edu/~zhengw/SARS/Software-Process.htm
在系统层面研究生物学的重要性已得到充分认可,但目前尚无明确界定的流程或一致的方法来整合和呈现该层面的生物学信息。为克服这一障碍,有必要将计算机科学和生物学等学科进行融合。
通过应用一种经过调整的顺序软件工程流程,一个复杂的生物系统(严重急性呼吸综合征冠状病毒感染)已被逆向工程,并表示为一个面向对象的软件系统。这种面向对象软件工程方法的可扩展性表明,我们可以将该技术应用于大型复杂生物系统的整合。
该系统基于网络的可导航版本可在http://people.musc.edu/~zhengw/SARS/Software-Process.htm免费获取。