INTRODUCTION TO BIOINFORMATICS

生物信息学导论

• 批准号: 8364383
• 负责人: Shalun Lewis
• 金额: $ 0.11万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8364383
• 关键词: Algorithms; Arabidopsis; Area; Bacillus subtilis; Base Sequence; Bioinformatics; Biology; Biomedical Research; Chemistry; Collection; Computers; Culicidae; DNA; Data; Databases; Discipline; Educational process of instructing; Escherichia coli; Exercise; Faculty; Funding; Genes; Genome; Genomics; Goals; Grant; High Performance Computing; Human; Human Genome; Internet; Internships; Laboratories; Legal patent; Mathematics; Medicine; Methods; Minority; Molecular; Molecular Biology; Mus; National Center for Research Resources; Operating System; Pattern; Phylogenetic Analysis; Plants; Polymerase Chain Reaction; Principal Investigator; Pythons; Rattus; Research; Research Infrastructure; Resources; Rice; Schedule; Scientist; Sequence Alignment; Source; Students; Technology; United States National Institutes of Health; Universities; Withdrawal; Writing; career; computer science; cost; experience; interest; journal article; lectures; meetings; member; microorganism; rat genome; statistics; tool

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. CATALOG DESCRIPTION Bioinformatics is a collection of methods used for analyzing molecular biology data with a computer. A team of Langston University faculty from various disciplines (chemistry, biology, mathematics, computer science, and research) will teach this course with the goal of cultivating research-oriented minority students for careers in bioinformatics. Interested students can compete for summer internships at PSC. RATIONALE Bioinformatics is an area of research developing as a result of the Human Genome Initiative and the advent of the World Wide Web, shortly thereafter. Once patented technology such as the polymerase chain reaction and the DNA sequencer were developed, molecular biologist began sequencing entire genomes from human, rat, and mouse to plants, such as rice and Arabidopsis, to microorganisms such as E. coli and Bacillus subtilis. The scientist quickly realized that someone needed to provide tools for collection, storage, and analysis of this exponentially growing amount of nucleotide sequences. Computer scientist were needed to write scripts to allow for the assembly of entire genomes and comparison of genes within the genomes and between genomes (rat with human with mosquitos. Computer scientist quickly realized that mathematicians were needed for the intricate details of statistics, algorithms, and matrices. Bioinformatics is a multi-disciplinary field that is constantly evolving to meet the demands of the post-genomic area, if there is one, aiming for the diminishless field of personalized medicine. COURSE OBJECTIVES The student should: 1. Define Bioinformatics and understand how this discipline evolved. 2. Complete the Unix Operating System Hands- On Exercise. 3. Retrieve Sequences from Databases and Complete Hands- On Exercise. 4. Complete the Database Searching and Alignment Hands-On Exercise. 5. Complete the Multiple Sequence Alignment Hands-On Exercise. 6. Complete the Pattern Identification and Matching Hands-On Exercise. 7. Complete the Python Exercises. 8. Complete the Phylogenetic Analysis Hands-On Exercises. 9. Complete the Finding Features in Groups of Sequences Hands-On Exercises. METHOD OF INSTRUCTION This class will be taught by a team of faculty who have experience in their fields of research. The faculty will use hands-on exercises, powerpoint presentations, and journal articles when presenting their information. COURSE REQUIREMENTS Each student should: 1. Attend all classes, punctually. 2. Complete all hands-on exercises. Take all exams or quizzes. 3. Complete your project. 4. Present your project. METHOD OF EVALUATION- Points for course requirements Each faculty member will assess the students as the subject matter lends itself. Minimum Grade Requirement: A = 90%; B = 80%; C = 70%; D = 60%; F = below 59% 3. Class Attendance It is imperative that students attend all lectures and labs. Material covered during each session is critical and is prerequisite to subsequent material. Material missed in one lecture can seriously hinder the student(s ability to comprehend related material. An attendance sheet will circulate at the beginning of class. Classes will be held daily. If no laboratory assignments are scheduled, then classes will be held in the recitation room. Six (6) absentees can result in an administrative withdrawal.

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。对该分项目和该分项目首席调查员的主要支持可能是由其他来源提供的，包括国家卫生研究院的其他来源。列出的子项目总成本可能代表子项目使用的中心基础设施的估计数量，而不是NCRR拨款提供给子项目或子项目工作人员的直接资金。 生物信息学是用于用计算机分析分子生物学数据的方法的集合。来自不同学科(化学、生物、数学、计算机科学和研究)的兰斯顿大学教员团队将教授这门课程，目标是为生物信息学职业培养研究型少数族裔学生。有兴趣的学生可以竞争PSC的暑期实习机会。 生物信息学是随着人类基因组计划和此后不久的万维网的出现而发展起来的一个研究领域。一旦开发出聚合酶链式反应和DNA测序仪等专利技术，分子生物学家就开始对从人类、大鼠和小鼠到植物(如水稻和拟南芥)到微生物(如大肠杆菌和枯草芽孢杆菌)的整个基因组进行测序。这位科学家很快意识到，需要有人提供工具来收集、存储和分析这些呈指数级增长的核苷酸序列。需要计算机科学家编写脚本，以便组装整个基因组，并比较基因组内和基因组之间的基因(大鼠、人和蚊子)。计算机科学家很快意识到，需要数学家来处理统计、算法和矩阵的复杂细节。生物信息学是一个多学科领域，它正在不断发展，以满足后基因组领域的需求，如果有的话，目标是不断缩小的个性化医学领域。 课程目标：1。定义生物信息学，了解这门学科是如何发展的。2.完成Unix操作系统动手练习。3.从数据库中检索序列并完成动手练习。4.完成数据库搜索和比对实践练习。5.完成多序列比对动手练习。6.完成模式识别和匹配的动手练习。7.完成巨蟒练习。8.完成系统发育分析动手练习。9.完成按顺序分组查找要素的动手练习。 教学方法这门课将由一组在各自研究领域有经验的教员授课。在介绍他们的信息时，教员将使用动手练习、PowerPoint演示文稿和期刊文章。课程要求每位学生应：1.准时上课。2.完成所有动手练习。参加所有的考试或测验。3.完成你的项目。4.展示你的项目。评估方法-课程要求的分数每位教职员工将根据学科内容对学生进行评估。最低成绩要求：A=90%；B=80%；C=70%；D=60%；F=59%以下。每期会议所涉及的材料至关重要，也是后续材料的先决条件。一堂课漏掉的材料会严重阻碍学生(S)理解相关材料的能力。一份出席表将在上课开始时传阅。每天都会上课。如果没有安排实验室作业，则在复习室上课。六(6)名缺勤人员可能会导致行政撤职。