SGER: Asynchronous Methods on Heterogeneous Computer Networks for Abstracting High Level Biological Meaning

SGER：异构计算机网络上用于抽象高级生物学意义的异步方法

• 批准号: 0119171
• 负责人: James Peterson
• 金额: $ 10万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0119171&HistoricalAwards=false
• 关键词: SGER; Asynchronous; Methods; Heterogeneous; Computer

This SGER will explore the development of algorithms that abstract biological information processes into software. The algorithms will work on different computer systems using CORBA middleware technology and agents. The abstraction of biological complexity will enable the modeling of high level objects. The original focus will be on developing graphical interfaces and modeling genomic objects and computational models of emotion. The choice of the model systems was determined by considering how many different areas of science might have input and get something out of the tools that are developed. The results will feed into learning issues at both the computational and pedagogical levels, as well as how biological objects interact from a computer science perspective. This in turn will enable research into gene regulatory networks, functional genomics and signal encoding in ensembles of neurons.

这个SGER将探索将生物信息过程抽象到软件中的算法的发展。 该算法将工作在不同的计算机系统使用CORBA中间件技术和代理。 生物复杂性的抽象将使高层次对象的建模成为可能。 最初的重点将是开发图形界面和建模基因组对象和情感的计算模型。模型系统的选择是通过考虑有多少不同的科学领域可能会输入并从开发的工具中获得一些东西来确定的。研究结果将在计算和教学两个层面上提供给学习问题，以及从计算机科学的角度来看生物对象如何相互作用。 这反过来将使研究基因调控网络，功能基因组学和信号编码的神经元集合。