Academic literature on the topic 'SARS-CoV-2 phylogeny'

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Journal articles on the topic "SARS-CoV-2 phylogeny"

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Cilibrasi, Rudi L., and Paul M. B. Vitányi. "Fast Phylogeny of SARS-CoV-2 by Compression." Entropy 24, no. 4 (2022): 439. http://dx.doi.org/10.3390/e24040439.

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The compression method to assess similarity, in the sense of having a small normalized compression distance (NCD), was developed based on algorithmic information theory to quantify the similarity in files ranging from words and languages to genomes and music pieces. It has been validated on objects from different domains always using essentially the same software. We analyze the whole-genome phylogeny and taxonomy of the SARS-CoV-2 virus, which is responsible for causing the COVID-19 disease, using the alignment-free compression method to assess similarity. We compare the SARS-CoV-2 virus with
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Terán, Aneliz Ninahuanca, Emma Torres Tola, Daniela Andrea Arteaga Voigt, and Ruddy Luna Barrón. "Spike(s) protein gene microevolution of SARS CoV-2 virus in Bolivian Population." Journal of Health & Biological Sciences 12, no. 1 (2024): 1–8. https://doi.org/10.12662/2317-3076jhbs.v12i1.5426.p1-8.2024.

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Objective: analyze the population gene structure and phylogeny of the S gene of the SARS CoV-2 virus of COVID-19 (+) patients from the Plurinational State of Bolivia and then correlate its phylogeny with the different waves of contagion. Methods: three SARS-CoV-2 samples obtained by nasopharyngeal swabs from positive COVID-19 patients were sequenced by Sanger sequencing. 488 sequences of Bolivian SARS-CoV-2 were downloaded from GISAID until September 25, 2023. The genetic structure and phylogeny were analyzed to correlate the presence of the different variants with the waves of contagion. Resu
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MEGE, Revolson Alexius, Herry Sinyo SUMAMPOUW, Dewa Nyoman OKA, Nonny MANAMPIRING, and Yermia Semuel MOKOSULI. "The Distribution of COVID 19 based on Phylogeny Construction in Silico Sequences SARS-CoV-2 RNA at Genbank NCBI." Walailak Journal of Science and Technology (WJST) 17, no. 8 (2020): 893–902. http://dx.doi.org/10.48048/wjst.2020.9814.

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The Covid-19 pandemic, due to severe acute respiratory coronavirus (SARS-CoV-2) virus, has an effect on human civilization today. With high fatality infections, SARS Covid-19 has influenced the global economic, socio-cultural, and even political order. This study aims to construct the phylogeny of the SARS corona virus that causes Covid-19 in various countries in the world by using the SARS Covid-19 gene database from the NCBI GenBank. The results of this study can trace the origin of SARS Covid-19, which is then called SARS-CoV-2, the gene characteristics, and the evolutionary relationship of
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Mabry, Makenzie E., Angela Fanelli, Carla Mavian, et al. "The panzootic potential of SARS-CoV-2." BioScience 73, no. 11 (2023): 814–29. http://dx.doi.org/10.1093/biosci/biad102.

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Abstract Each year, SARS-CoV-2 is infecting an increasingly unprecedented number of species. In the present article, we combine mammalian phylogeny with the genetic characteristics of isolates found in mammals to elaborate on the host-range potential of SARS-CoV-2. Infections in nonhuman mammals mirror those of contemporary viral strains circulating in humans, although, in certain species, extensive viral circulation has led to unique genetic signatures. As in other recent studies, we found that the conservation of the ACE2 receptor cannot be considered the sole major determinant of susceptibi
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Li, Yue, Xinai Yang, Na Wang, et al. "The divergence between SARS-CoV-2 and RaTG13 might be overestimated due to the extensive RNA modification." Future Virology 15, no. 6 (2020): 341–47. http://dx.doi.org/10.2217/fvl-2020-0066.

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Aim: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread throughout the world. There is urgent need to understand the phylogeny, divergence and origin of SARS-CoV-2. Materials & methods: A recent study claimed that there was 17% divergence between SARS-CoV-2 and RaTG13 (a SARS-related coronaviruses) on synonymous sites by using sequence alignment. We re-analyzed the sequences of the two coronaviruses with the same methodology. Results: We found that 87% of the synonymous substitutions between the two coronaviruses could be potentially explained by the RNA modification s
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Yang, Shixing, Tongling Shan, Yuqing Xiao, et al. "Digging metagenomic data of pangolins revealed SARS-CoV-2 related viruses and other significant viruses." Journal of Medical Virology 93, no. 3 (2021): 1786–91. https://doi.org/10.5281/zenodo.13536469.

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(Uploaded by Plazi for the Bat Literature Project) Pangolin metagenomic data obtained from public databases were used to assemble partial or complete viral genomes showing genetic relationship to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Sendai virus, flavivirus, picornavirus, parvovirus, and genomovirus, respectively. Most of these virus genomes showed genomic recombination signals. Phylogeny based on the SARS-CoV-2-related virus sequences assembled in this study and those recently published indicated that pangolin SARS-CoV-2-related viruses were clustered into two sub-lin
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Yang, Shixing, Tongling Shan, Yuqing Xiao, et al. "Digging metagenomic data of pangolins revealed SARS-CoV-2 related viruses and other significant viruses." Journal of Medical Virology 93, no. 3 (2021): 1786–91. https://doi.org/10.5281/zenodo.13536469.

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(Uploaded by Plazi for the Bat Literature Project) Pangolin metagenomic data obtained from public databases were used to assemble partial or complete viral genomes showing genetic relationship to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Sendai virus, flavivirus, picornavirus, parvovirus, and genomovirus, respectively. Most of these virus genomes showed genomic recombination signals. Phylogeny based on the SARS-CoV-2-related virus sequences assembled in this study and those recently published indicated that pangolin SARS-CoV-2-related viruses were clustered into two sub-lin
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Ye, Yongtao, Marcus H. Shum, Joseph L. Tsui, et al. "Robust expansion of phylogeny for fast-growing genome sequence data." PLOS Computational Biology 20, no. 2 (2024): e1011871. http://dx.doi.org/10.1371/journal.pcbi.1011871.

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Massive sequencing of SARS-CoV-2 genomes has urged novel methods that employ existing phylogenies to add new samples efficiently instead of de novo inference. ‘TIPars’ was developed for such challenge integrating parsimony analysis with pre-computed ancestral sequences. It took about 21 seconds to insert 100 SARS-CoV-2 genomes into a 100k-taxa reference tree using 1.4 gigabytes. Benchmarking on four datasets, TIPars achieved the highest accuracy for phylogenies of moderately similar sequences. For highly similar and divergent scenarios, fully parsimony-based and likelihood-based phylogenetic p
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Novikov, Daniel, Sergey Knyazev, Mark Grinshpon, Pelin Icer, Pavel Skums, and Alex Zelikovsky. "Scalable Reconstruction of SARS-CoV-2 Phylogeny with Recurrent Mutations." Journal of Computational Biology 28, no. 11 (2021): 1130–41. http://dx.doi.org/10.1089/cmb.2021.0306.

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da Silva, Larissa Amoroso, Luciana Estevam Simonato, and Rogério Rodrigo Ramos. "Phylogeny and Pathogenesis of SARS-CoV-2: A Systematic Study." Journal of Modern Medicinal Chemistry 8, no. 1 (2020): 49–55. http://dx.doi.org/10.12970/2308-8044.2020.08.06.

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Book chapters on the topic "SARS-CoV-2 phylogeny"

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Matkovic, Eduard, and Jessica Gulliver. "COVID-19 and pediatrics—phylogeny, pathology, and pathogenesis of SARS-CoV-2." In Clinical Management of Pediatric COVID-19. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-95059-6.00001-2.

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Lenning, Ole Bernt, Ronny Myhre, May Sissel Vadla, and Geir Sverre Braut. "A Phylogenetic Approach to the Uneven Global Distribution of the COVID-19 Pandemic." In Handbook of Research on Historical Pandemic Analysis and the Social Implications of COVID-19. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7987-9.ch009.

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A possible role of Y chromosomal haplogroups in COVID-19 mortality is discussed without claiming causality. The mortality of COVID-19 seems unequally distributed in different populations and statistically significant regional covariation is presented between COVID-19 mortality and the haplogroup Y-R1b. Y-R1b is suggested as a possible marker for mortality in the first wave of the pandemic affecting the Western Europe. September 2020 the pandemic involved also Eastern Europe severely in a second wave, while South East Asia, with a very high frequency of Y-0, had strikingly low COVID-19 mortalit
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Conference papers on the topic "SARS-CoV-2 phylogeny"

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Sharawy, Lamis, Maha Tantawy, Yara Ahmed, et al. "In-Silico Comparative Analysis of Egyptian SARS CoV-2 with Other Populations: a Phylogeny and Mutation Analysis." In 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES). IEEE, 2020. http://dx.doi.org/10.1109/niles50944.2020.9257918.

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