摘要翻译：
这项研究的目的是利用从病毒RNA中核苷酸序列分布中获得的参数来分析病毒。为了寻求输入数据的同质性，我们只分析单链RNA病毒。用两种方法获得核苷酸序列；在第一个中，考虑了等长的块（四个核苷酸）。在第二种方法中，整个RNA基因组被腺嘌呤或最常见的核苷酸作为一个“空间”分成部分。研究了这两种情况下的秩-频率分布。在第一种方法中，P\'olya和负超几何分布产生最佳拟合。对于在第二种方法中得到的分布，我们计算了一组参数，包括熵，平均序列长度和它的色散。计算出的参数成为病毒分类的依据。我们观察到病毒在不同参数对上的平面上的接近度对应于相关物种。在某些情况下，对于不相关的物种也可以观察到这种接近性，因此需要扩大分类中使用的参数集。我们还观察到，在第二种方法中获得的第四个最常见的核苷酸序列在人类冠状病毒的情况下具有不同的性质（MERS、SARS-CoV和新型冠状病毒的不同核苷酸，而其他四种冠状病毒的相同核苷酸）。我们期望，我们的发现将作为一个补充工具，对RNA病毒引起的疾病的严重性和传染性进行分类。
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英文标题：
《On the verge of life: Distribution of nucleotide sequences in viral RNAs》
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作者：
Mykola Husev and Andrij Rovenchak
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  The aim of the study is to analyze viruses using parameters obtained from distributions of nucleotide sequences in the viral RNA. Seeking for the input data homogeneity, we analyze single-stranded RNA viruses only. Two approaches are used to obtain the nucleotide sequences; In the first one, chunks of equal length (four nucleotides) are considered. In the second approach, the whole RNA genome is divided into parts by adenine or the most frequent nucleotide as a "space". Rank--frequency distributions are studied in both cases. Within the first approach, the P\'olya and the negative hypergeometric distribution yield the best fit. For the distributions obtained within the second approach, we have calculated a set of parameters, including entropy, mean sequence length, and its dispersion. The calculated parameters became the basis for the classification of viruses. We observed that proximity of viruses on planes spanned on various pairs of parameters corresponds to related species. In certain cases, such a proximity is observed for unrelated species as well calling thus for the expansion of the set of parameters used in the classification. We also observed that the fourth most frequent nucleotide sequences obtained within the second approach are of different nature in case of human coronaviruses (different nucleotides for MERS, SARS-CoV, and SARS-CoV-2 versus identical nucleotides for four other coronaviruses). We expect that our findings will be useful as a supplementary tool in the classification of diseases caused by RNA viruses with respect to severity and contagiousness.
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PDF链接：
https://arxiv.org/pdf/2009.09702