Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike Viruses
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s12539-021-00465-0.pdf
Reference37 articles.
1. Marquez S, Prado-Vivar B, Guadalupe JJ, Gutierrez B, Jibaja M, Tobar M, Mora F, Gaviria J, Garcia M, Espinosa F et al (2020) Genome sequencing of the first SARS-CoV-2 reported from patients with COVID-19 in Ecuador. medRxiv. https://doi.org/10.1101/2020.06.11.20128330
2. Laamarti M, Alouane T, Kartti S, Chemao-Elfihri M, Hakmi M, Essabbar A, Laamarti M, Hlali H, Bendani H, Boumajdi N et al (2020) Large scale genomic analysis of 3067 SARS-CoV-2 genomes reveals a clonal geo-distribution and a rich genetic variations of hotspots mutations. PLoS One 15(11):e0240345. https://doi.org/10.1371/journal.pone.0240345
3. Leila M, Sorayya G (2021) Genotype and phenotype of COVID-19: their roles in pathogenesis. J Microbiol Immunol Infect 54(2):159–163. https://doi.org/10.1016/j.jmii.2020.03.022
4. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, Wang W, Song H, Huang B, Zhu N et al (2020) Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet 395(10224):565. https://doi.org/10.1016/S0140-6736(20)30251-8
5. Nawaz MS, Fournier-Viger P, Shojaee A, Fujita H (2021) Using artificial intelligence techniques for COVID-19 genome analysis. Appl Intell 51:3086–3103. https://doi.org/10.1007/s10489-021-02193-w
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