A hybrid technique for the periodicity characterization of genomic sequence data

作者: Julien Epps

DOI: 10.1155/2009/924601

关键词:

摘要: Many studies of biological sequence data have examined structure in terms periodicity, and various methods for measuring periodicity been suggested this purpose. This paper compares two such methods, autocorrelation the Fourier transform, using synthetic periodic sequences, explains differences estimates produced by each. A hybrid autocorrelation--integer period discrete transform is proposed that combines advantages both techniques. Collectively, representation a recently variant on offer alternatives to widely used characterization data. Finally, these are compared tetramers interest C. elegans chromosome I.

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