Institute for Genomics and Bioinformatics, University of California, Irvine, CA 92697, USA.
Adv Exp Med Biol. 2010;680:523-34. doi: 10.1007/978-1-4419-5913-3_58.
Progress in systems biology depends on developing scalable informatics tools to predictively model, visualize, and flexibly store information about complex biological systems. Scalability of these tools, as well as their ability to integrate within larger frameworks of evolving tools, is critical to address the multi-scale and size complexity of biological systems.
Using current software technology, such as self-generation of database and object code from UML schemas, facilitates rapid updating of a scalable expert assistance system for modeling biological pathways. Distribution of key components along with connectivity to external data sources and analysis tools is achieved via a web service interface.
All sigmoid modeling software components and supplementary information are available through: http://www.igb.uci.edu/servers/sb.html.
系统生物学的进展取决于开发可扩展的信息学工具,以便对复杂的生物系统进行预测性建模、可视化和灵活存储信息。这些工具的可扩展性以及它们在不断发展的工具框架内集成的能力,对于解决生物系统的多尺度和大小复杂性至关重要。
使用当前的软件技术,例如从 UML 模式自动生成数据库和对象代码,可以促进用于建模生物途径的可扩展专家辅助系统的快速更新。通过 Web 服务接口实现关键组件的分布以及与外部数据源和分析工具的连接。
所有 sigmoid 建模软件组件和补充信息均可通过以下网址获得:http://www.igb.uci.edu/servers/sb.html。