Postdoctoral Research Fellowship in Biological Informatics for FY 2000

本行动资助2000年美国国家科学基金会生物信息学博士后研究奖学金。研究和培训计划是在真核遗传学领域，题为“微阵列数据分析，以确定自适应启动子”。这项生物信息学研究将检查参与代谢过程的基因近端启动子的序列变异，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。通过对具有不同心脏代谢的硬骨鱼（teleost Fundulus）不同种群心脏组织中表达的基因进行微阵列分析比较，可以识别与代谢过程相关的基因。在Fundulus中，转录被转录因子SP1改变（增加）的基因也将通过微阵列技术被识别，因为这些基因之前有结合SP1的启动子序列。基因的子集是1。与心脏代谢有关，2。受SP1存在和浓度的影响，将进一步检查以确定哪些变化是自适应的。

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.