Title :
A comparative study of cross-correlation methods for alignment of DNA sequences containing repetitive patterns
Author :
Brodzik, Andrzej K.
Author_Institution :
MITRE Corp., Bedford, MA, USA
Abstract :
In this work we consider the problem of global DNA sequence alignment. One of the best known and most efficient computational techniques used for this task is the cross-correlation method. We compare efficacy of evaluating periodic DNA sequence misalignment using the standard magnitude-and-phase cross- correlation technique with the lesser known phase-only cross-correlation method. We prove that for a periodic DNA sequence whose length is a prime number the standard approach leads to significant sidelobes in the cross-correlation, the magnitude of which increases with the length of the sequence, while the phase-only approach allows attaining a perfect cross-correlation with zero sidelobes. Numerical experiments on synthesized data are included and robustness of the phase-only method to random DNA insertions and imperfect DNA fragment matches is discussed.
Keywords :
DNA; biology computing; correlation methods; signal processing; computational techniques; global DNA sequence alignment; magnitude-and-phase cross-correlation technique; periodic DNA sequence misalignment evaluation; phase-only approach; random DNA insertions; repetitive patterns; zero sidelobes; Abstracts; Correlation; Discrete Fourier transforms; Image edge detection; Ink; Sonar; Standards;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1