Mahadevan Padmanabhan
Department of Biology, University of Tampa, 401 W. Kennedy Blvd. Box 3F, Tampa, FL 33606.
Bioinformation. 2016 Aug 30;12(6):301-310. doi: 10.6026/97320630012301. eCollection 2016.
The evolution of sequencing technology has lead to an enormous increase in the number of genomes that have been sequenced. This is especially true in the field of virus genomics. In order to extract meaningful biological information from these genomes, whole genome data mining software tools must be utilized. Hundreds of tools have been developed to analyze biological sequence data. However, only some of these tools are user-friendly to biologists. Several of these tools that have been successfully used to analyze adenovirus genomes are described here. These include Artemis, EMBOSS, pDRAW, zPicture, CoreGenes, GeneOrder, and PipMaker. These tools provide functionalities such as visualization, restriction enzyme analysis, alignment, and proteome comparisons that are extremely useful in the bioinformatics analysis of adenovirus genomes.
测序技术的发展使得已测序的基因组数量大幅增加。在病毒基因组学领域尤其如此。为了从这些基因组中提取有意义的生物学信息，必须使用全基因组数据挖掘软件工具。已经开发了数百种工具来分析生物序列数据。然而，其中只有一些工具对生物学家来说是用户友好的。这里介绍了几种已成功用于分析腺病毒基因组的工具。这些工具包括Artemis、EMBOSS、pDRAW、zPicture、CoreGenes、GeneOrder和PipMaker。这些工具提供了可视化、限制性内切酶分析、比对和蛋白质组比较等功能，这些功能在腺病毒基因组的生物信息学分析中非常有用。
