COMPARATIVE GENOMICS AND GENE PREDICTION

描述：（申请人摘要）拟议研究的目标是 开发精确的算法来注释人类基因组， 概率建模的严谨性和比较基因组学的力量。的 一种方法是使用人类和鼠的基因组序列， 一个概率框架，同时模拟基因的结构， （例如：外显子、内含子、非翻译区等），和预期的保护 在每一个组件中。支持使用 草图序列和全基因组鸟枪序列也被提出， 研究人员可以立即利用这一预期的改善， 基因预测技术这项研究将由Ian Korf博士进行， 在基因组测序中心的沃伦·吉什博士的监督下， 遗传学系的迈克尔布伦特博士， 计算机科学，在华盛顿大学，圣路易斯。从他的导师，博士。 科尔夫是一名训练有素的分子生物学家，他将学习 概率建模和提高他的计算机编程技能，以 实现项目的既定目标，并为他的职业生涯奠定基础 作为计算分子生物学领域的独立研究者。

DESCRIPTION: (Applicant's Abstract) The goal of the proposed research is to develop accurate algorithms for annotating the human genome by combining the rigor of probabilistic modeling with the power of Comparative genomics. The approach will be to use orthologous human and murine genomic sequences within a probabilistic framework that simultaneously models both the structure of genes (eg. exons, introns, untranslated regions, etc.), and the expected conservation in the each of the components. Supporting algorithms that enable the use of draft sequence and whole-genome shotgun sequences are also proposed in order for researchers to immediately take advantage of this expected improvement in gene prediction technology. The research will be conducted by Dr. Ian Korf, under the supervision of Dr. Warren Gish at the Genome Sequencing Center, in the Department of Genetics, and Dr. Michael Brent, in the Department of Computer Science, at Washington University, St. Louis. From his mentors, Dr. Korf, a molecular biologist by training, will learn the techniques of probabilistic modeling and improve his computer programming skills, in order to attain the stated goals of the project, and to lay a foundation for his career as an independent researcher in the field of computational molecular biology.