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

这本SGER将探索将生物信息过程抽象为软件的算法的开发。这些算法将在使用CORBA中间件技术和代理的不同计算机系统上运行。生物复杂性的抽象将使高级对象的建模成为可能。最初的重点将是开发图形界面，并对基因组对象和情感的计算模型进行建模。模型系统的选择是通过考虑有多少不同的科学领域可能有投入并从开发的工具中获得一些东西来决定的。这些结果将在计算和教学层面上纳入学习问题，以及从计算机科学的角度来看生物对象如何相互作用。这反过来将使对基因调控网络、功能基因组学和神经元集合中的信号编码的研究成为可能。

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.