Bioinformatics for analysis of poxvirus genomes.

Bioinformatics for analysis of poxvirus genomes.
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DOI:
10.1007/978-1-61779-876-4_14
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发表时间:
2012-01-01
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
通讯作者:
Upton, Chris
Upton, Chris
中科院分区:
其他
文献类型:
--
作者:
Da Silva, Melissa;Upton, Chris

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近年来,分子生物学领域出现了许多前所未有的技术进步,包括DNA测序、蛋白质质谱和mRNA转录物的微阵列分析。然而,也许正是基因组学领域对普通病毒学研究人员产生了最大的影响,因为几乎所有的分子病毒学家都在以许多不同的方式不断使用DNA序列数据。随着这种数据资源的增长,数据库和软件工具的可用性的重要性也在增加,以使实验室病毒学家能够使用和利用这种(有价值/昂贵的)DNA序列信息。因此,为研究人员提供直观的软件,首先从大型数据库中选择和重新格式化基因组数据,其次,比较/分析基因组数据,第三,查看和解释大型和复杂的结果集,已经成为现代病毒学取得进展的关键。本章是针对实验室病毒学家,并描述了一些常用的生物信息学技术,用于比较和分析痘病毒基因组所需的软件。在一些例子中,我们还强调了我们开发的用于管理和分析完整病毒基因组的病毒Orthopathy Clusters数据库系统和集成工具。
In recent years, there have been numerous unprecedented technological advances in the field of molecular biology; these include DNA sequencing, mass spectrometry of proteins, and microarray analysis of mRNA transcripts. Perhaps, however, it is the area of genomics, which has now generated the complete genome sequences of more than 100 poxviruses, that has had the greatest impact on the average virology researcher because the DNA sequence data is in constant use in many different ways by almost all molecular virologists. As this data resource grows, so does the importance of the availability of databases and software tools to enable the bench virologist to work with and make use of this (valuable/expensive) DNA sequence information. Thus, providing researchers with intuitive software to first select and reformat genomics data from large databases, second, to compare/analyze genomics data, and third, to view and interpret large and complex sets of results has become pivotal in enabling progress to be made in modern virology. This chapter is directed at the bench virologist and describes the software required for a number of common bioinformatics techniques that are useful for comparing and analyzing poxvirus genomes. In a number of examples, we also highlight the Viral Orthologous Clusters database system and integrated tools that we developed for the management and analysis of complete viral genomes.