COMPARATIVE GENOMICS AND GENE PREDICTION

描述：(申请人摘要)拟议研究的目标是 开发准确的算法来注释人类基因组通过结合 利用比较基因组学的力量进行概率建模的严谨性。这个 一种方法是在一种 同时对基因结构进行建模的概率框架 (例如，外显子、内含子、非翻译区等)，以及预期的保守性 在每个组件中。支持允许使用 还提出了草稿序列和全基因组鸟枪序列 为了让研究人员立即利用这一预期的改进 基因预测技术。这项研究将由伊恩·科夫博士进行， 在基因组测序中心Warren Gish博士的监督下， 遗传学系和迈克尔·布伦特博士 圣路易斯华盛顿大学计算机科学专业。从他的导师那里，他说。 科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，以便 达到项目规定的目标，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人员。

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.