Working Paper Communication Version 1 This version is not peer-reviewed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)

How to cite: Canessa, E. Uncovering Signals from the Coronavirus Genome. Preprints 2021, 2021040204 Canessa, E. Uncovering Signals from the Coronavirus Genome. Preprints 2021, 2021040204

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.

Subject Areas

SARS-CoV-2; Sequence analysis; Comparative genomic variants; Alternating Series; Covid-19

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