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Study on the Relation between Virus and Host Cell by Alignment-Free Sequence Comparison

机译:无比对序列比较研究病毒与宿主细胞的关系

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With the development of the human genome project, scientists have obtained a large number of biological sequences which needed to be processed and analyzed. In this paper, we characterized the biological relationship between virus and host cell by using alignment-free sequence comparison statistics such as, D2S, D2*, Hao, Eu and Ch. By using sequence alignment-free comparison, we acquired sequence distributions of K-tuple in the tested species, and here K-tuple in biology is a short sequence of genes with a length of K. We used the ROC curves to analyze the data of DNA sequences of virus and host cell to find an optimal statistic method. The ROC curves show that when K is small, all of the statistics can better react the biological relationship of virus and host cell in the genetic similarity, but with K gradually increasing, the statistics D2S and D2* have been proved to be almost invariant and well in reflecting the biological relationship between virus and host cell in the genetic similarity, at the same time the other statistics reduced, which confirmed our conjecture, so we can consider the statistics D2S and D2* as effective alignment-free sequence comparison methods for the relation between virus and host cell.
机译:随着人类基因组计划的发展,科学家获得了大量需要处理和分析的生物学序列。在本文中,我们通过使用无比对序列比较统计数据(如D2S,D2 *,Hao,Eu和Ch)来表征病毒与宿主细胞之间的生物学关系。通过无序列比对比较,我们获得了被测物种中K-元组的序列分布,这里生物学中的K-元组是长度为K的短基因序列。我们使用ROC曲线分析了K-元组的数据。找出病毒和宿主细胞的DNA序列的最佳统计方法。 ROC曲线表明,当K较小时,所有统计量都可以更好地在遗传相似性上反应病毒与宿主细胞的生物学关系,但是随着K的逐渐增加,已证明统计量D2S和D2 *几乎是不变的,并且可以很好地反映遗传相似性中病毒与宿主细胞之间的生物学关系,同时减少其他统计数据,这证实了我们的推测,因此我们可以将D2S和D2 *统计数据视为有效的无比对序列比较方法。病毒与宿主细胞之间的关系。

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