COMPLEXITY and INFORMATION-BASED ANALYSIS of the VARIATIONS of the SARS-COV-2 GENOME in the UNITED STATES of AMERICA (USA)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017287" target="_blank" >RIV/62690094:18450/20:50017287 - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500237" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500237</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X21500237" target="_blank" >10.1142/S0218348X21500237</a>

Result language
angličtina
Original language name
COMPLEXITY and INFORMATION-BASED ANALYSIS of the VARIATIONS of the SARS-COV-2 GENOME in the UNITED STATES of AMERICA (USA)
Original language description
SARS-CoV-2 is a deadly virus that has affected human life since late 2019. Between all the countries that have reported the cases of patients with SARS-CoV-2 disease (COVID-19), the United States of America has the highest number of infected people and mortality rate. Since different states in the USA reported different numbers of patients and also death cases, analyzing the difference of SARS-CoV-2 between these states has great importance. Since the generated RNA walk from the SARS-CoV-2 genome includes complex random fluctuations that also contain information, in this study, we employ the complexity and information theories to investigate the variations of SARS-CoV-2 genome between different states in the USA for the first time. The results of our analysis showed that the fractal dimension and Shannon entropy of genome walk significantly change between different states. Based on these results, we can conclude that the SARS-CoV-2 genomic structure significantly changes between different states, which is resulted from the virus evolution. Therefore, developing a vaccine for SARS-CoV-2 is very challenging since it should be able to fight various structures of the virus in different states. © 2020
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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