Abstract
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.
Highlights
Human adenoviruses (HAdVs) were first discovered in human adenoid tissue in the 1950s [1]
HAdVs are classified based on several criteria including serum neutralization assays, restriction enzyme analysis (REA), hemagglutination, phylogenetic analysis, and whole genome analysis [3]
From the whole genome percent identity analysis, inverted terminal repeats (ITRs) alignments, and zPicture plots, there is strong evidence that HAdVG52 is closely related to SAdV-1 and SAdV-7
Summary
Human adenoviruses (HAdVs) were first discovered in human adenoid tissue in the 1950s [1]. The HAdV-F40 and HAdV-F41 genomes have significantly lower percent identities when compared to SAdV-1 and SAdV-7. Whole genome percent identity analysis It is very useful to know how closely related adenoviruses are to each other.
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