DocumentCode :
1991673
Title :
An integer period DFT for biological sequence processing
Author :
Epps, Julien ; Ambikairajah, Eliathamby ; Akhtar, Mahmood
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
fYear :
2008
fDate :
8-10 June 2008
Firstpage :
1
Lastpage :
4
Abstract :
Detection of periodicity in symbolic sequences such as DNA is of considerable interest in a number of applications, however fast, accurate algorithms are needed for measuring spectral content at multiple integer periods. This paper describes an integer period discrete Fourier transform (IPDFT), presents a new algorithm for its implementation, and discusses applications to DNA sequence analysis. Evaluations on DNA sequence data show that the IPDFT may be a more suitable tool for periodicity analysis than an existing widely used correlation-based approach.
Keywords :
DNA; discrete Fourier transforms; medical computing; sequences; statistical analysis; DNA periodicity; DNA sequence analysis; IPDFT; biological sequence processing; discrete Fourier transform; integer period DFT; periodicity analysis; spectral content measurement algorithm; symbolic sequence periodicity; Algorithm design and analysis; Australia; Biology computing; DNA; Discrete Fourier transforms; Electric variables measurement; Frequency; Genomics; Sequences; Signal processing algorithms; DNA; discrete Fourier transform; genomic signal processing; periodicity; symbolic sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-2371-2
Electronic_ISBN :
978-1-4244-2372-9
Type :
conf
DOI :
10.1109/GENSIPS.2008.4555661
Filename :
4555661
Link To Document :
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