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10.1093/bib/bbab107 http://scihub22266oqcxt.onion/10.1093/bib/bbab107 33885735!8083196!33885735     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brief+Bioinform 2021 ; 22 (5): ä Nephropedia Template TP {{tp|p=33885735|t=2021. New framework for recombination and adaptive evolution analysis with application to the novel coronavirus SARS-CoV-2 |pdf=|usr=}}{{33885735}} gab.com Text New framework for recombination and adaptive evolution analysis with application to the novel coronavirus SARS-CoV-2 JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33885735 #FOAvip The 2019 novel coronavirus (SARS-CoV-2) has spread rapidly worldwide and was declared a pandemic by the WHO in March 2020. The evolution of SARS-CoV-2, either in its natural reservoir or in the human population, is still unclear, but this knowledge is essential for effective prevention and control. We propose a new framework to systematically identify recombination events, excluding those due to noise and convergent evolution. We found that several recombination events occurred for SARS-CoV-2 before its transfer to humans, including a more recent recombination event in the receptor-binding domain. We also constructed a probabilistic mutation network to explore the diversity and evolution of SARS-CoV-2 after human infection. Clustering results show that the novel coronavirus has diverged into several clusters that cocirculate over time in various regions and that several mutations across the genome are fixed during transmission throughout the human population, including D614G in the S gene and two accompanied mutations in ORF1ab. Together, these findings suggest that SARS-CoV-2 experienced a complicated evolution process in the natural environment and point to its continuous adaptation to humans. The new framework proposed in this study can help our understanding of and response to other emerging pathogens. Twit Text FOAVip New framework for recombination and adaptive evolution analysis with application to the novel coronavirus SARS-CoV-2 ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33885735 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33885735 #FOAvip English Wikipedia <ref>{{Cite pmid|33885735}}</ref> New framework for recombination and adaptive evolution analysis with application to the novel coronavirus SARS-CoV-2 #MMPMID33885735 Wang Y; Zeng J; Zhang C; Chen C; Qiu Z; Pang J; Xu Y; Dong Z; Song Y; Liu W; Dong P; Sun L; Chen YQ; Shu Y; Du X Brief Bioinform 2021[Sep]; 22 (5): ä PMID33885735show ga The 2019 novel coronavirus (SARS-CoV-2) has spread rapidly worldwide and was declared a pandemic by the WHO in March 2020. The evolution of SARS-CoV-2, either in its natural reservoir or in the human population, is still unclear, but this knowledge is essential for effective prevention and control. We propose a new framework to systematically identify recombination events, excluding those due to noise and convergent evolution. We found that several recombination events occurred for SARS-CoV-2 before its transfer to humans, including a more recent recombination event in the receptor-binding domain. We also constructed a probabilistic mutation network to explore the diversity and evolution of SARS-CoV-2 after human infection. Clustering results show that the novel coronavirus has diverged into several clusters that cocirculate over time in various regions and that several mutations across the genome are fixed during transmission throughout the human population, including D614G in the S gene and two accompanied mutations in ORF1ab. Together, these findings suggest that SARS-CoV-2 experienced a complicated evolution process in the natural environment and point to its continuous adaptation to humans. The new framework proposed in this study can help our understanding of and response to other emerging pathogens. |*Evolution, Molecular[MESH] |*Recombination, Genetic[MESH] |COVID-19/virology[MESH] |Humans[MESH] |Phylogeny[MESH] |Reproducibility of Results[MESH]New framework for recombination and adaptive evolution analysis with a(epmc).pdf DeepDyve Pubget Overpricing