Postdoctoral Research Fellowship in Biological Informatics for FY 2000

这项行动为2000年国家科学基金会生物信息学博士后研究金提供资金。研究和培训计划是在真核遗传学领域，题为“分析微阵列数据以确定适应性启动子”。 这项生物信息学研究将检查参与代谢过程的基因的近端启动子中的序列变异，并将“有用”变异（即与适应相关的变异）与没有功能意义的随机变异区分开来。 比较基因芯片分析的心脏组织中表达的硬骨鱼底，表现出不同的心脏代谢的不同群体，可以识别基因与代谢过程。 在基底中，转录被转录因子SP1改变（增加）的基因也将通过使用微阵列技术来鉴定，因为这些基因之前是结合SP1的启动子序列。 基因的子集是1。与心脏代谢有关，2。受SP1的存在和浓度的影响，将进一步检查以确定哪些变化是适应性的。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for 2000.The research and training plan is in the area of Eukaryotic Genetics and is entitled "Analysis of Microarray Data to Identify Adaptive Promoters". This bioinformatic study will examine sequence variation in proximal promoters of genes involved with metabolic processes, and distinguish "useful" variations (i.e. variations associated with adaptation) from random variations that have no functional significance. Comparisons of microarray analyses of genes expressed in cardiac tissue of different populations of teleost Fundulus, which exhibit different cardiac metabolisms, can identify genes linked to metabolic processes. In Fundulus, genes whose transcription is altered (increased) by transcription factor SP1 will also be identified by using microarray technology, as these genes are preceded by promoter sequences that bind SP1. The subset of genes that are 1. Associated with cardiac metabolism, and 2. Affected by presence and concentration of SP1, will be further examined to determined which variations are adaptive.