Communication
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This version is not peer-reviewed
Uncovering Signals from the Coronavirus Genome
Version 1
: Received: 6 April 2021 / Approved: 7 April 2021 / Online: 7 April 2021 (12:59:50 CEST)
A peer-reviewed article of this Preprint also exists.
Canessa, E. Uncovering Signals from the Coronavirus Genome. Genes, 2021, 12, 973. https://doi.org/10.3390/genes12070973. Canessa, E. Uncovering Signals from the Coronavirus Genome. Genes, 2021, 12, 973. https://doi.org/10.3390/genes12070973.
Abstract
A signal analysis of the genoma sequenced of coronavirus variants: B.1.1.7, B.1.135, B.1.429-B.1.427, B.1.525 and P1 is presented. We deal with a certain type of finite alternating sum series having independently distributed terms associated with binary (0,1) indicators for the nucleotide bases A,C,G,T. This method provides additional information to conventional Similarity comparisons and Power Spectrum approaches. It leads to uncover distinctive patterns regarding the intrinsic data organization of genomic sequences according to its progression along the nucleotide bases position. Hence, the method could be useful for survelliance of genoma variants.
Keywords
SARS-CoV-2; Sequence analysis; Comparative genomic variants; Alternating Series; Covid-19
Subject
Biology and Life Sciences, Virology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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