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10.4236/cmb.2020.103004 http://scihub22266oqcxt.onion/10.4236/cmb.2020.103004 32953249!7497811!32953249     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32953249&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Comput+Mol+Biosci 2020 ; 10 (3): 61-72 Nephropedia Template TP {{tp|p=32953249|t=2020. Similarity Studies of Corona Viruses through Chaos Game Representation |pdf=|usr=}}{{32953249}} gab.com Text Similarity Studies of Corona Viruses through Chaos Game Representation JO: Comput Mol Biosci http://www.kidney.de/pget.php?&tw=1&pmid=32953249 #FOAvip The novel coronavirus (SARS-COV-2) is generally referred to as Covid-19 virus has spread to 213 countries with nearly 7 million confirmed cases and nearly 400,000 deaths. Such major outbreaks demand classification and origin of the virus genomic sequence, for planning, containment, and treatment. Motivated by the above need, we report two alignment-free methods combing with CGR to perform clustering analysis and create a phylogenetic tree based on it. To each DNA sequence we associate a matrix then define distance between two DNA sequences to be the distance between their associated matrix. These methods are being used for phylogenetic analysis of coronavirus sequences. Our approach provides a powerful tool for analyzing and annotating genomes and their phylogenetic relationships. We also compare our tool to ClustalX algorithm which is one of the most popular alignment methods. Our alignment-free methods are shown to be capable of finding closest genetic relatives of coronaviruses. Twit Text FOAVip Similarity Studies of Corona Viruses through Chaos Game Representation ????Comput Mol Biosci http://www.kidney.de/pget.php?&tw=1&pmid=32953249 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32953249 #FOAvip English Wikipedia <ref>{{Cite pmid|32953249}}</ref> Similarity Studies of Corona Viruses through Chaos Game Representation #MMPMID32953249 Sengupta DC; Hill MD; Benton KR; Banerjee HN Comput Mol Biosci 2020[Sep]; 10 (3): 61-72 PMID32953249show ga The novel coronavirus (SARS-COV-2) is generally referred to as Covid-19 virus has spread to 213 countries with nearly 7 million confirmed cases and nearly 400,000 deaths. Such major outbreaks demand classification and origin of the virus genomic sequence, for planning, containment, and treatment. Motivated by the above need, we report two alignment-free methods combing with CGR to perform clustering analysis and create a phylogenetic tree based on it. To each DNA sequence we associate a matrix then define distance between two DNA sequences to be the distance between their associated matrix. These methods are being used for phylogenetic analysis of coronavirus sequences. Our approach provides a powerful tool for analyzing and annotating genomes and their phylogenetic relationships. We also compare our tool to ClustalX algorithm which is one of the most popular alignment methods. Our alignment-free methods are shown to be capable of finding closest genetic relatives of coronaviruses. ?Similarity Studies of Corona Viruses through Chaos Game Representation(epmc).pdf DeepDyve Pubget Overpricing