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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4702| Similarities and Evolutionary Relationships of COVID-19 and Related Viruses | |
| Li, Yanni. Liu, Bing. Cui, Jiangtao. Wang, Zhi. Shen, Yulong. Xu, Yueshen. Yao, Kaicheng. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://arxiv.org/pdf/2003.05580.pdf | |
| We have collected a large set of 377 publicly available complete genome sequences of the COVID-19 virus, the previously known flu-causing coronaviruses, HCov-229E, HCov-OC43, HCov-NL63 and HCov-HKU1, and the deadly pathogenic P3/P4 viruses, SARS, MERS, Victoria, Lassa, Yamagata, Ebola, and Dengue. This article reports a computational study of the similarities and the evolutionary relationships of COVID-19 strains from different countries and between COVID-19 and the related viruses using our newly developed big sequence data analysis tool I-MLCS, the existing MEGA 6.0 system, and a clustering algorithm. Similarity analysis shows that two strains of the COVID-19 virus taking rhinolophine as host have very high similarities with the COVID-19 virus taking human as host, although the average similarity between the strains of the virus taking pangolin as host and taking human as host is higher. Evolutionary relationship analysis shows that about 13 strains of the COVID-19 virus sequenced in 5 countries are very likely to be connected to or can potentially lead researchers to find the first generation COVID-19 virus and its origin. | |
| arxiv.org | |
| 2020 | |
| Artículo | |
| https://arxiv.org/pdf/2003.05580.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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