ArticleEURASIP journal on bioinformatics & systems biology2009
A hybrid technique for the periodicity characterization of genomic sequence data.
Article in EURASIP journal on bioinformatics & systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Sequence periodic pattern of HERV LTRs: a matrix simulation algorithm.Journal of biosciences · 2012Article
- Origin of multiple periodicities in the Fourier power spectra of the Plasmodium falciparum genome.BMC genomics · 2011Article
- Statistical methods for detecting periodic fragments in DNA sequence data.Biology direct · 2011Article
- Localizing triplet periodicity in DNA and cDNA sequences.BMC bioinformatics · 2010Article
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1 author.
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Abstract
Many studies of biological sequence data have examined sequence structure in terms of periodicity, and various methods for measuring periodicity have been suggested for this purpose. This paper compares two such methods, autocorrelation and the Fourier transform, using synthetic periodic sequences, and explains the differences in periodicity estimates produced by each. A hybrid autocorrelation-integer period discrete Fourier transform is proposed that combines the advantages of both techniques. Collectively, this representation and a recently proposed variant on the discrete Fourier transform offer alternatives to the widely used autocorrelation for the periodicity characterization of sequence data. Finally, these methods are compared for various tetramers of interest in C. elegans chromosome I.
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