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一个用于研究微生物基因组的基于网络的比较基因组学教程。

A web-based comparative genomics tutorial for investigating microbial genomes.

作者信息

Strong Michael, Cascio Duilio, Eisenberg David

机构信息

Howard Hughes Medical Institute, UCLA-DOE Institute of Genomics and Proteomics, Molecular Biology Institute, University of California, Los Angeles, Box 951570, Los Angeles, California 90095-1570.

出版信息

Microbiol Educ. 2004 May;5:30-5.

Abstract

As the number of completely sequenced microbial genomes continues to rise at an impressive rate, it is important to prepare students with the skills necessary to investigate microorganisms at the genomic level. As a part of the core curriculum for first-year graduate students in the biological sciences, we have implemented a web-based tutorial to introduce students to the fields of comparative and functional genomics. The tutorial focuses on recent computational methods for identifying functionally linked genes and proteins on a genome-wide scale and was used to introduce students to the Rosetta Stone, Phylogenetic Profile, conserved Gene Neighbor, and Operon computational methods. Students learned to use a number of publicly available web servers and databases to identify functionally linked genes in the Escherichia coli genome, with emphasis on genome organization and operon structure. The overall effectiveness of the tutorial was assessed based on student evaluations and homework assignments. The tutorial is available to other educators at http://www.doe-mbi.ucla.edu/~strong/m253.php.

摘要

随着完全测序的微生物基因组数量持续以惊人的速度增长,培养学生具备在基因组水平研究微生物所需的技能变得至关重要。作为生物科学专业一年级研究生核心课程的一部分,我们实施了一个基于网络的教程,向学生介绍比较基因组学和功能基因组学领域。该教程重点介绍了近期在全基因组范围内识别功能相关基因和蛋白质的计算方法,并用于向学生介绍罗塞塔石碑法、系统发育谱法、保守基因邻接法和操纵子计算方法。学生们学习使用一些公开可用的网络服务器和数据库来识别大肠杆菌基因组中的功能相关基因,重点是基因组组织和操纵子结构。根据学生评估和作业对该教程的整体效果进行了评估。其他教育工作者可通过http://www.doe-mbi.ucla.edu/~strong/m253.php获取该教程。

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本文引用的文献

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Operons in Escherichia coli: genomic analyses and predictions.大肠杆菌中的操纵子:基因组分析与预测
Proc Natl Acad Sci U S A. 2000 Jun 6;97(12):6652-7. doi: 10.1073/pnas.110147297.
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The use of gene clusters to infer functional coupling.利用基因簇推断功能偶联。
Proc Natl Acad Sci U S A. 1999 Mar 16;96(6):2896-901. doi: 10.1073/pnas.96.6.2896.

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