PROTEIN CODING GENES IN THE HUMAN GENOME

一项对整个人类基因组进行测序的宏大努力正在进行中。 利用计算工具识别功能序列元件 已经变得越来越重要。我们的长期目标是利用 识别人类蛋白质编码的数学和统计方法 人类基因组中的基因，这意味着要定位它们的大致位置 由启动子和多聚腺苷信号结合的位置，至 根据外显子、内含子和编码描述它们的组织 序列，并通过检查它们的序列来推断它们的结构/功能 控制/调节元件及其编码的蛋白质。我们有 以下是这笔初始赠款的四个具体目标：1)建造和 维护不同类型的人类外显子的高质量数据库，以及 分离的5‘和3’外显子及其侧翼序列的数据库 来自人类、小鼠、萌芽酵母和分裂酵母的基因。2)至 扩展我们的内部编码外显子搜索器MZER以包括Complete 编码区预测。3)开发计算方法 启动子和第一外显子识别。4)发展低分辨率 蛋白质编码基因的近似定位方法 大(染色体)规模的人类基因组。方法和工具 将帮助分子生物学家找到人类 基因，并更快地解释结构/功能 准确地说。

A grand effort is underway to sequence the entire human genome. Identification of functional sequence elements by computational tools has become increasingly important. Our long term goal is to use mathematical and statistical methods to identify human protein coding genes in the human genome, which means to locate their approximate positions bound by the promoters and the polyadenylationsignals, to delineate their organization in terms of their exons, introns and coding sequences, and to infer their structure/function by examining their control/regulatory elements and their encoded proteins. We have the folloiwng four specific aims for this initial grant: 1) To build and to maintain a quality database of human exons of different types, and a separate database of 5' and 3' exons with their flanking sequences from human, mouse, budding yeast and fission yeast genes. 2) To extend our internal coding exon finder MZER to include complete coding region prediction. 3) To develop computational methods for promoter andfirst exon recognition. 4) To develop low-resolution methods for approximate localization of protein coding genes in human genome on large (chromosomal) scale. The methods and tools resulting from this project will help molecular biologists to find human genes and to interpret the structure/functions more quickly and accurately.