Periodic power spectrum with applications in detection of latent periodicities in DNA sequences

DOI10.1007/s00285-016-0982-8zbMath1354.42009arXiv1504.02367OpenAlexW3101164530WikidataQ40357196 ScholiaQ40357196MaRDI QIDQ728537

Changchuan Yin, Jia-Song Wang

Publication date: 20 December 2016

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1504.02367

zbMATH Keywords

Fourier transformperiodicityspectral leakageDNA genomeperiodic power spectrum

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type (42A38)

Related Items (3)

Latent periodicity-2 in coronavirus SARS-CoV-2 genome: evolutionary implications ⋮ Investigating some attributes of periodicity in DNA sequences via semi-Markov modelling ⋮ Identification of repeats in DNA sequences using nucleotide distribution uniformity

Uses Software

• Matlab
• PPS
• lobSTR

Cites Work

• Unnamed Item
• A new method to cluster DNA sequences using Fourier power spectrum
• An improved model for whole genome phylogenetic analysis by Fourier transform
• Information decomposition method to analyze symbolical sequences
• Prediction of protein coding regions by the 3-base periodicity analysis of a DNA sequence
• A measure of DNA sequence similarity by Fourier transform with applications on hierarchical clustering
• A converse coding theorem for mismatched decoding at the output of binary-input memoryless channels
• Detection and visualization of tandem repeats in dna sequences

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