基于混沌博弈和Fisher-Shannon复杂性的冠状病毒家族比较基因组分析
A Comparative Genomic Analysis of Coronavirus Families Using Chaos Game Representation and Fisher-Shannon Complexity
摘要：
自2019年12月在中国武汉首次出现以来，COVID-19大流行在全球造成了前所未有的健康危机。新型冠状病毒病是由严重急性呼吸综合征冠状病毒2型（SARS-CoV-2）引起的，属于冠状病毒科。本文对人冠状病毒OC-43的8种冠状病毒进行了比较基因组分析，（HCoV-OC 43），人冠状病毒HKU 1（HCoV-HKU 1），人冠状病毒229 E（HCoV-229 E），人冠状病毒NL 63（HCoV-NL 63），严重急性呼吸综合征冠状病毒中东呼吸综合征相关冠状病毒（SARS-CoV）利用混沌博弈表示和Fisher-Shannon复杂度（CGR-FSC）测度对MERS-CoV、SARS-CoV-2和蝙蝠冠状病毒RaTG 13进行了研究。混沌博弈表示（CGR）是一种将一维DNA序列可视化为二维分形模式的独特方法。二维CGR模式，然后量化的Fisher-Shannon复杂性（FSC）措施。CGR-FSC能有效地唯一识别病毒，并能在Fisher-Shannon信息平面（FSIP）中揭示病毒的相似性/相异性。
英文摘要：
From its first emergence in Wuhan, China in December, 2019 the COVID-19 pandemic has caused unprecedented health crisis throughout the world. The novel coronavirus disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which belongs to the coronaviridae family. In this paper, a comparative genomic analysis of eight coronaviruses namely Human coronavirus OC43 (HCoV-OC43), Human coronavirus HKU1 (HCoV-HKU1), Human coronavirus 229E (HCoV-229E), Human coronavirus NL63 (HCoV-NL63), Severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome-related coronavirus (MERS-CoV), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Bat coronavirus RaTG13 has been carried out using Chaos Game Representation and Fisher-Shannon Complexity (CGR-FSC) measure. Chaos Game Representation (CGR) is a unique alignment-free method to visualize one dimensional DNA sequence in a two-dimensional fractal-like pattern. The two-dimensional CGR pattern is then quantified by Fisher-Shannon Complexity (FSC) measure. The CGR-FSC can effectively identify the viruses uniquely and their similarity/dissimilarity can be revealed in the Fisher-Shannon Information Plane (FSIP).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
