About: Fourier spectral density of the coronavirus genome

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Fourier spectral density of the coronavirus genome
Creator	Tan, H
Source	BioRxiv
abstract	We present an analysis of the coronavirus RNA genome via a study of its Fourier spectral density based on a binary representation of the nucleotide sequence. We find that at low frequencies, the power spectrum presents a small and distinct departure from the behavior expected from an uncorrelated sequence. We provide a couple of simple models to characterize such deviations. Away from a small low-frequency domain, the spectrum presents largely stochastic fluctuations about fixed values which vary inversely with the genome size generally. It exhibits no other peaks apart from those associated with triplet codon usage. We uncover an interesting, new scaling law for the coronavirus genome: the complexity of the genome scales linearly with the power-law exponent that characterizes the enveloping curve of the low-frequency domain of the spectral density.
has issue date	2020-08-11(xsd:dateTime)
bibo:doi	10.1101/2020.06.30.180034
has license	biorxiv
sha1sum (hex)	e41e23362b1e3c443dd4410f2960209a8ed01cc3
schema:url	https://doi.org/10.1101/2020.06.30.180034
resource representing a document's title	Fourier spectral density of the coronavirus genome
schema:publication	bioRxiv
resource representing a document's body	covid:e41e23362b1e3c443dd4410f2960209a8ed01cc3#body_text
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