论文标题
宏基因组学中病毒基因组系统学的神经复制剂分析
Neural Replicator Analysis for virus genomes binomial systematics in metagenomics
论文作者
论文摘要
我们提出了一些论点，以证实神经复制剂分析（NRA）在构建病毒基因组自然二项式分类的变异方面的有用性，仅基于其完整基因组序列的知识，而无需涉及表型，功能，函数，编码蛋白等的其他数据，并且不需要基因组序列的需要。处理宏基因组数据时，这也许是有意义的。这使得构建对病毒本身接受的二项式分类是可能的。我们将自己限制在三个具有dsDNA圆周基因组（乳头状瘤科，多瘤病毒和花椰菜科）的病毒家族中，部分地属于具有ssDNA基因组家族的双子座家族，尽管所介绍的方法也可以应用于其他DSDNA，SSDNA和SSRNA VIRES的基因组（包括某些属于lin）的基因组（包括某些结果）（包括某些结果）（包括某些结果）（包括某些结果）（包括某些结果）（包括某些结果）。有人认为，在所有情况下很难应用的病毒基因组的二项式分类都可以是揭示病毒特性，宿主，形式的疾病形式，还可以显示出属于不同家族的病毒甚至不同王国的病毒的联系的信息。
We have presented some arguments to substantiate the usefulness of neural replicator analysis (NRA) for constructing variants of the natural binomial classification of virus genomes based only on knowledge of their complete genomic sequences, without involving other data on the phenotype, functions, encoded proteins, etc., and also without the need of genomic sequences alignment. Perhaps this will make sense when processing metagenomic data. This makes it possible to construct the binomial classification accepted for the viruses themselves. We restrict ourselves to three families of viruses having dsDNA circular genomes (Papillomaviridae, Polyomaviridae and Caulimoviridae) and partly to the family Geminiviridae having ssDNA genomes though the approach presented can be also applied to genomes of other dsDNA, ssDNA and ssRNA viruses, including linear ones (some results for Mitoviridae are also presented). It is argued that binomial classification of virus genomes which is difficult to apply in all cases can nevertheless be informative tool of revealing virus properties, areal of hosts, forms of diseases and can also show the connections of the viruses belonging to different families and even to different kingdoms.
