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利用免费的网络工具教授生物信息学和神经信息学。

Teaching bioinformatics and neuroinformatics by using free web-based tools.

机构信息

Department of Psychology, University of California, Los Angeles, 90095, USA.

出版信息

CBE Life Sci Educ. 2010 Summer;9(2):98-107. doi: 10.1187/cbe.09-11-0079.

Abstract

This completely computer-based module's purpose is to introduce students to bioinformatics resources. We present an easy-to-adopt module that weaves together several important bioinformatic tools so students can grasp how these tools are used in answering research questions. Students integrate information gathered from websites dealing with anatomy (Mouse Brain Library), quantitative trait locus analysis (WebQTL from GeneNetwork), bioinformatics and gene expression analyses (University of California, Santa Cruz Genome Browser, National Center for Biotechnology Information's Entrez Gene, and the Allen Brain Atlas), and information resources (PubMed). Instructors can use these various websites in concert to teach genetics from the phenotypic level to the molecular level, aspects of neuroanatomy and histology, statistics, quantitative trait locus analysis, and molecular biology (including in situ hybridization and microarray analysis), and to introduce bioinformatic resources. Students use these resources to discover 1) the region(s) of chromosome(s) influencing the phenotypic trait, 2) a list of candidate genes-narrowed by expression data, 3) the in situ pattern of a given gene in the region of interest, 4) the nucleotide sequence of the candidate gene, and 5) articles describing the gene. Teaching materials such as a detailed student/instructor's manual, PowerPoints, sample exams, and links to free Web resources can be found at http://mdcune.psych.ucla.edu/modules/bioinformatics.

摘要

这个完全基于计算机的模块旨在向学生介绍生物信息学资源。我们呈现了一个易于采用的模块,将几个重要的生物信息学工具编织在一起,使学生能够掌握这些工具如何用于回答研究问题。学生整合来自涉及解剖学的网站(Mouse Brain Library)、数量性状位点分析(来自 GeneNetwork 的 WebQTL)、生物信息学和基因表达分析(加利福尼亚大学圣克鲁兹基因组浏览器、国家生物技术信息中心的 Entrez Gene 和 Allen 大脑图谱)以及信息资源(PubMed)收集的信息。教师可以使用这些各种网站来协同教授从表型水平到分子水平的遗传学、神经解剖学和组织学、统计学、数量性状位点分析和分子生物学(包括原位杂交和微阵列分析)方面的知识,并介绍生物信息学资源。学生使用这些资源来发现:1)影响表型特征的染色体区域;2)根据表达数据缩小的候选基因列表;3)感兴趣区域中特定基因的原位模式;4)候选基因的核苷酸序列;5)描述基因的文章。教学材料,如详细的学生/教师手册、PowerPoint、样例考试和免费网络资源的链接,可在 http://mdcune.psych.ucla.edu/modules/bioinformatics 找到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b02f/2879386/133323adbed2/cbe0021002370001.jpg

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