A Course in Computational Genomics for Experimentalists

实验者计算基因组学课程

• 批准号: 6773276
• 负责人: RICHARD A FRIEDMAN
• 金额: $ 4.82万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-11 至 2006-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6773276
• 关键词: bioinformatics; computer data analysis; curriculum; education evaluation /planning; educational resource design /development; experimental designs; functional /structural genomics; molecular biology information system; science education

DESCRIPTION (provided by applicant): The aim of this project is to develop a lecture/laboratory course in bioinformatics that teaches graduate students in the various experimental biomedical disciplines how to analyze and integrate genomic data in their research. Rather than simply offering a course in bioinformatic methods, it is proposed to develop a set of several illustrative biological problems that require genomic analysis for their solution, A series of lessons will be developed that cover the methods for relating the sequences of proteins and nucleic acids to their structure, function, evolution, expression, and role in human health and disease, The theoretical basis of all methods studied will be taught. The operation of all programs used will be demonstrated live, with the aid of an LCD projector. The students will gain experience in using all the methods themselves by applying them to real biological problems in a supervised computer laboratory. Most of the lab exercises will involve a term project in which the students explore the structure and function of a protein/gene family involved in cellular signaling. Other exercises will include finding a human disease gene by a combination of linkage and sequence analysis, and analyzing microarray expression data. Emphasis will be placed on the use of web-accessible databases.

描述（由申请人提供）：该项目的目的是开发生物信息学的讲座/实验室课程，教授各种实验生物医学学科的研究生如何分析和整合基因组数据。不是简单地提供生物信息学方法的课程，而是建议开发一组需要基因组分析来解决的几个说明性生物学问题，将开发一系列课程，涵盖将蛋白质和核酸序列与其结构，功能，进化，表达和在人类健康和疾病中的作用联系起来的方法，将教授所有研究方法的理论基础。所有使用的程序的操作将在LCD投影仪的帮助下现场演示。学生将获得经验，在使用所有的方法，他们自己通过应用到真实的生物问题在一个监督计算机实验室。大多数实验室练习将涉及学期项目，其中学生探索参与细胞信号传导的蛋白质/基因家族的结构和功能。其他练习将包括通过连锁和序列分析的组合来寻找人类疾病基因，以及分析微阵列表达数据。重点将放在使用可上网查阅的数据库上。