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Comparative analysis of periodicity search methods in DNA sequences
Yulia M Suvorova1, Maria A Korotkova2, Eugene V Korotkov3
1Centre of Bioengineering Russian Academy of Sciences, Prospect 60-tya Oktyabrya 7/1, Moscow 117312, Russian Federation.
Computational Biology and Chemistry
|September 15, 2014
Summary
Spectral analysis methods can determine DNA sequence periodicity. The hybrid method (HYB) is best for short periods (≤4 bp), while information decomposition (ID) excels for longer periods (>4 bp) with higher mutation rates.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Determining periodicity in DNA sequences is crucial for understanding genomic structure and function.
- Various spectral analysis techniques exist, but their efficacy varies with sequence characteristics.
Purpose of the Study:
- To evaluate the performance of different spectral methods for DNA sequence periodicity detection.
- To identify the most reliable method for accurate period length determination based on sequence properties.
Main Methods:
- Applied multiple spectral approaches: discrete Fourier transform (DFT), autocorrelation (CORR), information decomposition (ID), hybrid method (HYB), spectral envelope (SE), normalized autocorrelation (CORR_N), and profile analysis (PA).
- Investigated method performance based on average accumulated DNA base changes (point mutation, PM).
Main Results:
- The hybrid method (HYB) accurately determines short DNA sequence periods (≤4 base pairs).
- Information decomposition (ID) is superior for longer periods (>4 base pairs) when the point mutation rate is 1.0 or higher per nucleotide.
- Other spectral methods showed limitations in accurately determining period length under tested conditions.
Conclusions:
- The choice of spectral analysis method for DNA sequence periodicity depends on the period length and mutation rate.
- HYB and ID offer distinct advantages for different periodicity detection scenarios in genomic analysis.
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