Motivation: 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. Results: 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. © The Author 2005. Published by Oxford University Press. All rights reserved.
CITATION STYLE
Shegogue, D., & Zheng, W. J. (2005). Object-oriented biological system integration: A SARS coronavirus example. Bioinformatics, 21(10), 2502–2509. https://doi.org/10.1093/bioinformatics/bti344
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