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10.3390/genes12070973 http://scihub22266oqcxt.onion/10.3390/genes12070973 34202172!8303286!34202172     free     free     free       Genes+(Basel) 2021 ; 12 (7): ä Nephropedia Template TP {{tp|p=34202172|t=2021. Uncovering Signals from the Coronavirus Genome |pdf=|usr=}}{{34202172}} gab.com Text Uncovering Signals from the Coronavirus Genome JO: Genes (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34202172 #FOAvip A signal analysis of the complete genome sequenced for coronavirus variants of concern-B.1.1.7 (Alpha), B.1.135 (Beta) and P1 (Gamma)-and coronavirus variants of interest-B.1.429-B.1.427 (Epsilon) and B.1.525 (Eta)-is presented using open GISAID data. We deal with a certain new type of finite alternating sum series having independently distributed terms associated with binary (0,1) indicators for the nucleotide bases. Our method provides additional information to conventional similarity comparisons via alignment methods and Fourier Power Spectrum approaches. It leads to uncover distinctive patterns regarding the intrinsic data organization of complete genomics sequences according to its progression along the nucleotide bases position. The present new method could be useful for the bioinformatics surveillance and dynamics of coronavirus genome variants. Twit Text FOAVip Uncovering Signals from the Coronavirus Genome ????Genes (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34202172 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34202172 #FOAvip English Wikipedia <ref>{{Cite pmid|34202172}}</ref> Uncovering Signals from the Coronavirus Genome #MMPMID34202172 Canessa E Genes (Basel) 2021[Jun]; 12 (7): ä PMID34202172show ga A signal analysis of the complete genome sequenced for coronavirus variants of concern-B.1.1.7 (Alpha), B.1.135 (Beta) and P1 (Gamma)-and coronavirus variants of interest-B.1.429-B.1.427 (Epsilon) and B.1.525 (Eta)-is presented using open GISAID data. We deal with a certain new type of finite alternating sum series having independently distributed terms associated with binary (0,1) indicators for the nucleotide bases. Our method provides additional information to conventional similarity comparisons via alignment methods and Fourier Power Spectrum approaches. It leads to uncover distinctive patterns regarding the intrinsic data organization of complete genomics sequences according to its progression along the nucleotide bases position. The present new method could be useful for the bioinformatics surveillance and dynamics of coronavirus genome variants. |*Genome, Viral[MESH] |Computational Biology/*methods[MESH] |Coronavirus/genetics[MESH] |Humans[MESH] |SARS-CoV-2/*genetics/isolation & purification[MESH]Uncovering Signals from the Coronavirus Genome (epmc).pdf DeepDyve Pubget Overpricing