INTRODUCTION TO GENOMICS AND BIOINFORMATICS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 课程描述：本课程介绍基因组学和生物信息学中选定的主题，重点介绍用于检索和分析DNA、RNA、蛋白质和基因组序列数据的一系列生物数据库和生物信息学工具。本课程的目标是提高学生在研究中使用生物信息学工具的潜力，并在基因组学领域取得新的发现。本科生学习目标和结果：1。通过访问和检索各种数据库和文献来源的生物信息，展示使用信息资源和计算机技术的能力。2.通过解决一个基因注释问题来展示生物信息学和基因组学素养。3.通过解决蛋白质超家族成员之间的进化关系，展示应用和解释定量方法(算法和评分矩阵、系统发生、信息论、同源建模)的能力。4.通过使用计算机命令语言和程序(Unix，PYTHON)进行蛋白质超家族序列分析，展示基本的生物计算机技能研究生学习目标和结果：1.通过从各种数据库和文献来源访问和检索生物信息，展示使用信息资源和计算机技术的能力。2.通过解决一个基因注释问题来展示生物信息学和基因组学素养。3.通过解决蛋白质超家族成员之间的进化关系，展示应用和解释定量方法(算法和评分矩阵、系统发生、信息论、同源建模)的能力。4.使用计算机命令语言和程序(Unix，Python)进行蛋白质超家族的序列分析，展示基本的生物计算机技能。5.通过设计和实施序列分析研究项目，展示高级生物信息学技能和素养。评估：学生评估将基于实验室练习、考试、课堂参与和项目。本科生的评分标准如下：出勤率和参与度25%书面报告25%口头陈述25%期中和期末考试25%100%研究生评分标准略有不同，包括特殊项目要求的学分。上述评分表将进行调整，以允许研究生在这些项目上获得最高80%的分数，并为他们的项目获得20%的分数。所有学生将保存一份实验手册，以记录所有阅读和计算机实验作业的结果。本手册将用于评估课堂和计算机实验室的参与度。在学期结束时，所有学生将口头报告他们的项目，其中涉及使用在本学期课程中学到的生物信息学。研究生的特别项目将是广泛的文献研究和计算机实验室相结合。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Course Description: This course provides an introduction to select topics in genomics and bioinformatics, and focuses on the use of an array of biological databases and bioinformatics tools used for the retrieving and analyzing sequence data of DNA, RNA, proteins and genomes. The goal of this course is to enhance the potential of students to use bioinformatics tools in research and to make new discoveries in the area of genomics. Undergraduate Learning Objectives and Outcomes: 1. Demonstrate an ability to use information resources and computer technologies by accessing and retrieving biological information from a variety of databases and literature sources. 2. Demonstrate bioinformatics and genomics literacy by solving a gene annotation problem. 3. Demonstrate an ability to apply and interpret quantitative methods (algorithms and scoring matrices, phylogeny, information theory, homology modeling) by resolving the evolutionary relationship between members of a protein superfamily. 4. Demonstrate basic biological computer skills by using a computer command language and program (UNIX, Python) in conducting a sequence analysis of a protein superfamily Graduate Student Learning Objectives and Outcomes: 1. Demonstrate an ability to use information resources and computer technologies by accessing and retrieving biological information from a variety of databases and literature sources. 2. Demonstrate bioinformatics and genomics literacy by solving a gene annotation problem. 3. Demonstrate an ability to apply and interpret quantitative methods (algorithms and scoring matrices, phylogeny, information theory, homology modeling) by resolving the evolutionary relationship between members of a protein superfamily. 4. Demonstrate basic biological computer skills by using a computer command language and program (UNIX, Python) in conducting a sequence analysis of a protein superfamily 5. Demonstrate advanced bioinformatics skill and literacy by designing and implementing a sequence analysis research project Evaluation: Student evaluation will be based on laboratory exercises, exams, class participation and project. The grading scale for undergraduate students is as follows: Attendance & Participation 25% Written Report 25% Oral Presentation 25% Mid-Term & Final Exams 25% 100% The graduate student grading scale varies slightly to include credit for a special project requirement. The grading scale above will be adjusted to allow graduate students to earn a maximum of 80% of their grade on those items and 20% for their project. All students will maintain a lab manual to record results of all readings and computer laboratory assignments. This manual will be used to evaluate participation in class and in the computer lab. At the end of the semester, all students will give an oral presentation of their projects which involve using bioinformatics learned during the course of the semester. The special project for graduate students will be an extensive literature research/computer lab combination.