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10.1016/j.envres.2021.111909 http://scihub22266oqcxt.onion/10.1016/j.envres.2021.111909 34419470!8376833!34419470     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Res 2022 ; 204 (Pt A): 111909 Nephropedia Template TP {{tp|p=34419470|t=2022. CovidPhy: A tool for phylogeographic analysis of SARS-CoV-2 variation |pdf=|usr=}}{{34419470}} gab.com Text CovidPhy: A tool for phylogeographic analysis of SARS-CoV-2 variation JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34419470 #FOAvip The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen responsible for the coronavirus disease 2019 (COVID-19) pandemic. SARS-CoV-2 genomes have been sequenced massively and worldwide and are now available in different public genome repositories. There is much interest in generating bioinformatic tools capable to analyze and interpret SARS-CoV-2 variation. We have designed CovidPhy (http://covidphy.eu), a web interface that can process SARS-CoV-2 genome sequences in plain fasta text format or provided through identity codes from the Global Initiative on Sharing Avian Influenza Data (GISAID) or GenBank. CovidPhy aggregates information available on the large GISAID database (>1.49 M genomes). Sequences are first aligned against the reference sequence and the interface provides different sources of information, including automatic classification of genomes into a pre-computed phylogeny and phylogeographic information, haplogroup/lineage frequencies, and sequencing variation, indicating also if the genome contains known variants of concern (VOC). Additionally, CovidPhy allows searching for variants and haplotypes introduced by the user and includes a list of genomes that are good candidates for being responsible for large outbreaks worldwide, most likely mediated by important superspreading events, indicating their possible geographic epicenters and their relative impact as recorded in the GISAID database. Twit Text FOAVip CovidPhy: A tool for phylogeographic analysis of SARS-CoV-2 variation ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34419470 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34419470 #FOAvip English Wikipedia <ref>{{Cite pmid|34419470}}</ref> CovidPhy: A tool for phylogeographic analysis of SARS-CoV-2 variation #MMPMID34419470 Bello X; Pardo-Seco J; Gomez-Carballa A; Weissensteiner H; Martinon-Torres F; Salas A Environ Res 2022[Mar]; 204 (Pt A): 111909 PMID34419470show ga The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen responsible for the coronavirus disease 2019 (COVID-19) pandemic. SARS-CoV-2 genomes have been sequenced massively and worldwide and are now available in different public genome repositories. There is much interest in generating bioinformatic tools capable to analyze and interpret SARS-CoV-2 variation. We have designed CovidPhy (http://covidphy.eu), a web interface that can process SARS-CoV-2 genome sequences in plain fasta text format or provided through identity codes from the Global Initiative on Sharing Avian Influenza Data (GISAID) or GenBank. CovidPhy aggregates information available on the large GISAID database (>1.49 M genomes). Sequences are first aligned against the reference sequence and the interface provides different sources of information, including automatic classification of genomes into a pre-computed phylogeny and phylogeographic information, haplogroup/lineage frequencies, and sequencing variation, indicating also if the genome contains known variants of concern (VOC). Additionally, CovidPhy allows searching for variants and haplotypes introduced by the user and includes a list of genomes that are good candidates for being responsible for large outbreaks worldwide, most likely mediated by important superspreading events, indicating their possible geographic epicenters and their relative impact as recorded in the GISAID database. |*COVID-19/virology[MESH] |*Genome, Viral[MESH] |*Phylogeny[MESH] |*SARS-CoV-2/genetics[MESH] |Databases, Genetic[MESH] |Humans[MESH] |Internet[MESH] |Pandemics[MESH] |Phylogeography[MESH]CovidPhy: A tool for phylogeographic analysis of SARS-CoV-2 variation (epmc).pdf DeepDyve Pubget Overpricing