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10.1093/bib/bbab222 http://scihub22266oqcxt.onion/10.1093/bib/bbab222 34121111!ä!34121111 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brief+Bioinform 2021 ; 22 (6): ä Nephropedia Template TP {{tp|p=34121111|t=2021. Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2 |pdf=|usr=}}{{34121111}} gab.com Text Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2 JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34121111 #FOAvip The rapid spread and huge impact of the COVID-19 pandemic caused by the emerging SARS-CoV-2 have driven large efforts for sequencing and analyzing the viral genomes. Mutation analyses have revealed that the virus keeps mutating and shows a certain degree of genetic diversity, which could result in the alteration of its infectivity and pathogenicity. Therefore, appropriate delineation of SARS-CoV-2 genetic variants enables us to understand its evolution and transmission patterns. By focusing on the nucleotides that co-substituted, we first identified 42 co-mutation modules that consist of at least two co-substituted nucleotides during the SARS-CoV-2 evolution. Then based on these co-mutation modules, we classified the SARS-CoV-2 population into 43 groups and further identified the phylogenetic relationships among groups based on the number of inconsistent co-mutation modules, which were validated with phylogenetic trees. Intuitively, we tracked tempo-spatial patterns of the 43 groups, of which 11 groups were geographic-specific. Different epidemic periods showed specific co-circulating groups, where the dominant groups existed and had multiple sub-groups of parallel evolution. Our work enables us to capture the evolution and transmission patterns of SARS-CoV-2, which can contribute to guiding the prevention and control of the COVID-19 pandemic. An interactive website for grouping SARS-CoV-2 genomes and visualizing the spatio-temporal distribution of groups is available at https://www.jianglab.tech/cmm-grouping/. Twit Text FOAVip Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2 ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34121111 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34121111 #FOAvip English Wikipedia <ref>{{Cite pmid|34121111}}</ref> Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2 #MMPMID34121111 Qin L; Ding X; Li Y; Chen Q; Meng J; Jiang T Brief Bioinform 2021[Nov]; 22 (6): ä PMID34121111show ga The rapid spread and huge impact of the COVID-19 pandemic caused by the emerging SARS-CoV-2 have driven large efforts for sequencing and analyzing the viral genomes. Mutation analyses have revealed that the virus keeps mutating and shows a certain degree of genetic diversity, which could result in the alteration of its infectivity and pathogenicity. Therefore, appropriate delineation of SARS-CoV-2 genetic variants enables us to understand its evolution and transmission patterns. By focusing on the nucleotides that co-substituted, we first identified 42 co-mutation modules that consist of at least two co-substituted nucleotides during the SARS-CoV-2 evolution. Then based on these co-mutation modules, we classified the SARS-CoV-2 population into 43 groups and further identified the phylogenetic relationships among groups based on the number of inconsistent co-mutation modules, which were validated with phylogenetic trees. Intuitively, we tracked tempo-spatial patterns of the 43 groups, of which 11 groups were geographic-specific. Different epidemic periods showed specific co-circulating groups, where the dominant groups existed and had multiple sub-groups of parallel evolution. Our work enables us to capture the evolution and transmission patterns of SARS-CoV-2, which can contribute to guiding the prevention and control of the COVID-19 pandemic. An interactive website for grouping SARS-CoV-2 genomes and visualizing the spatio-temporal distribution of groups is available at https://www.jianglab.tech/cmm-grouping/. |*Evolution, Molecular[MESH] |COVID-19/*genetics/virology[MESH] |Genetic Variation/genetics[MESH] |Genome, Viral/*genetics[MESH] |Humans[MESH] |Mutation/genetics[MESH] |Pandemics[MESH] |Phylogeny[MESH] |SARS-CoV-2/*genetics/pathogenicity[MESH]Co-mutation modules capture the evolution and transmission patterns of(epmc).pdf DeepDyve Pubget Overpricing