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10.1002/jmv.26756 http://scihub22266oqcxt.onion/10.1002/jmv.26756 33368386!ä!33368386 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Virol 2021 ; 93 (4): 2534-2537 Nephropedia Template TP {{tp|p=33368386|t=2021. Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS-CoV-2 genomes from India |pdf=|usr=}}{{33368386}} gab.com Text Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS-CoV-2 genomes from India JO: J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=33368386 #FOAvip With the exponential spread of the coronavirus disease 2019 (COVID-19) pandemic across the world within the 12 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strains are continuously trying to adapt themselves to the host environment by random mutations. When doing so, some variants with evolutionary advantages such as better human to human transmissibility potential might get naturally selected. This short communication demonstrates how the mutation frequency patterns are evolving in 2457 SAR-CoV-2 strains isolated from COVID-19 patients across diverse Indian states. We have identified 19 such variants showing contrasting mutational probabilities in the span of 7 months. Out of these, 14 variants are showing increasing mutational probabilities suggesting their propagation with time due to their unexplored evolutionary advantages. However, the mutational probabilities of five variants have significantly decreased in June onward as compared to March/April, suggesting their termination with time. Further in-depth investigation of these identified variants will provide valuable knowledge about the evolution, infection strategies, transmission rates, and epidemiology of SARS-CoV-2. Twit Text FOAVip Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS-CoV-2 genomes from India ????J Med Virol http://www.kidney.de/pget.php?&tw=1&pmid=33368386 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33368386 #FOAvip English Wikipedia <ref>{{Cite pmid|33368386}}</ref> Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS-CoV-2 genomes from India #MMPMID33368386 Hudson B S; Kolte V; Khan A; Sharma G J Med Virol 2021[Apr]; 93 (4): 2534-2537 PMID33368386show ga With the exponential spread of the coronavirus disease 2019 (COVID-19) pandemic across the world within the 12 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strains are continuously trying to adapt themselves to the host environment by random mutations. When doing so, some variants with evolutionary advantages such as better human to human transmissibility potential might get naturally selected. This short communication demonstrates how the mutation frequency patterns are evolving in 2457 SAR-CoV-2 strains isolated from COVID-19 patients across diverse Indian states. We have identified 19 such variants showing contrasting mutational probabilities in the span of 7 months. Out of these, 14 variants are showing increasing mutational probabilities suggesting their propagation with time due to their unexplored evolutionary advantages. However, the mutational probabilities of five variants have significantly decreased in June onward as compared to March/April, suggesting their termination with time. Further in-depth investigation of these identified variants will provide valuable knowledge about the evolution, infection strategies, transmission rates, and epidemiology of SARS-CoV-2. |*Mutation[MESH] |COVID-19/epidemiology/*virology[MESH] |Evolution, Molecular[MESH] |Genetic Variation[MESH] |Genome, Viral[MESH] |Humans[MESH] |India/epidemiology[MESH] |Pandemics[MESH]Dynamic tracking of variant frequencies depicts the evolution of mutat(epmc).pdf DeepDyve Pubget Overpricing