ArticleBMC bioinformatics2010
Localizing triplet periodicity in DNA and cDNA sequences.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 36 citations in OpenAlex.
- Regions Enriched with Reverse Complement Triplets in Bacterial Genomes.International journal of molecular sciences · 2026Article
- Search for potential reading frameshifts in cds from Arabidopsis thaliana and other genomes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019Article
- Prediction of Sphingosine protein-coding regions with a self adaptive spectral rotation method.PloS one · 2019Article
- Periodic power spectrum with applications in detection of latent periodicities in DNA sequences.Journal of mathematical biology · 2016Article
- Wavelet analysis of frequency chaos game signal: a time-frequency signature of theEURASIP journal on bioinformatics & systems biology · 2014Article
- The structure of selective dinucleotide interactions and periodicities in D melanogaster mtDNA.Biological research · 2014Article
- SNR of DNA sequences mapped by general affine transformations of the indicator sequences.Journal of mathematical biology · 2013Article
- Design of high-performance parallelized gene predictors in MATLAB.BMC research notes · 2012Article
- Schematic for efficient computation of GC, GC3, and AT3 bias spectra of genome.Bioinformation · 2012Article
- 3-base periodicity in coding DNA is affected by intercodon dinucleotides.Bioinformation · 2011Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is divided into small segments and a Fourier Transform is applied on each segment, a strong peak at frequency 1/3 is typically observed in the Fourier spectrum of coding segments, but not in non-coding regions. This property has been used in identifying the locations of protein-coding genes in unannotated sequence. The method is fast and requires no training. However, the need to compute the Fourier Transform across a segment (window) of arbitrary size affects the accuracy with which one can localize TP boundaries. Here, we report a technique that provides higher-resolution identification of these boundaries, and use the technique to explore the biological correlates of TP regions in the genome of the model organism C. elegans.
resultsUsing both simulated TP signals and the real C. elegans sequence F56F11 as an example, we demonstrate that, (1) Modified Wavelet Transform (MWT) can better define the boundary of TP region than the conventional Short Time Fourier Transform (STFT); (2) The scale parameter (a) of MWT determines the precision of TP boundary localization: bigger values of a give sharper TP boundaries but result in a lower signal to noise ratio; (3) RNA splicing sites have weaker TP signals than coding region; (4) TP signals in coding region can be destroyed or recovered by frame-shift mutations; (5) 6 bp periodicities in introns and intergenic region can generate false positive signals and it can be removed with 6 bp MWT.
conclusionsMWT can provide more precise TP boundaries than STFT and the boundaries can be further refined by bigger scale MWT. Subtraction of 6 bp periodicity signals reduces the number of false positives. Experimentally-introduced frame-shift mutations help recover TP signal that have been lost by possible ancient frame-shifts. More importantly, TP signal has the potential to be used to detect the splice junctions in fully spliced mRNA sequence.
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