id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-342015-bz2vab6e	Ouadfeul, Sid-Ali	Multifractal Analysis of SARS-CoV-2 Coronavirus genomes using the wavelet transform	2020-08-16		.txt	text/plain	1386	86	58	In this paper, the 1D Wavelet Transform Modulus Maxima lines (WTMM) method is used to investigate the Long-Range Correlation (LRC) and to estimate the so-called Hurst exponent of 21 isolate RNA sequence downloaded from the NCBI database of patients infected by SARS-CoV-2, Coronavirus, the Knucleotidic, Purine, Pyramidine, Ameno, Keto and GC DNA coding are used. Arneodo et al (1996) published a paper deals with the study of the Long-Range Correlation (LRC) character of DNA sequences using the 1D continuous wavelet transform method. Audit et al (2004) published a paper deals with wavelet Analysis of DNA bending profiles reveals structural constraints on the evolution of genomic sequences, Voss (1996) published a paper deals with the evolution of Long-Range fractal correlations and 1/f noise in DNA base sequences. In this paper the 1D Wavelet Transform Modulus Maxima Lines (WTMM) method is used to demonstrate the monofractal behavior of SARS-CoV-2 RNA sequences downloaded from the NCBI database and to estimate the so-called Hurst exponent, the goal is to investigate the LRC character in these sequences.	./cache/cord-342015-bz2vab6e.txt	./txt/cord-342015-bz2vab6e.txt