新型冠状病毒肺炎基因组的信息论研究
Information Theoretic Study of COVID-19 Genome.
作者信息
Jacquet Philippe
机构信息
Inria Saclay Ile-de-France, 91120 Palaiseau, France.
出版信息
Entropy (Basel). 2024 Mar 1;26(3):223. doi: 10.3390/e26030223.
Abstract
In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various potential parent genomes. The tool has a computing complexity of several orders of magnitude below the classic Smith-Waterman algorithm and would allow it to be used on a larger scale.
摘要
在本文中，我们从信息角度分析了新冠病毒的基因组序列，并将其与过去和现在的基因组进行比较。我们使用联合复杂度这一强大工具来量化各种潜在亲本基因组之间的相似性。该工具的计算复杂度比经典的史密斯-沃特曼算法低几个数量级，这将使其能够在更大规模上使用。
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