Digital spectral analysis: with applications
Digital spectral analysis: with applications
A space efficient algorithm for finding the best nonoverlapping alignment score
Theoretical Computer Science
An Algorithm for Locating Nonoverlapping Regions of Maximum Alignment Score
SIAM Journal on Computing
Identifying satellites in nucleic acid sequences
RECOMB '98 Proceedings of the second annual international conference on Computational molecular biology
Digital Signal Processing Handbook
Digital Signal Processing Handbook
Identifying Periodic Occurrences of a Template with Applications to Protein Structures
CPM '92 Proceedings of the Third Annual Symposium on Combinatorial Pattern Matching
Large scale features in DNA genomic signals
Signal Processing - Special issue: Genomic signal processing
Finding approximate tandem repeats in genomic sequences
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Exhaustive whole-genome tandem repeats search
Bioinformatics
STAR: an algorithm to Search for Tandem Approximate Repeats
Bioinformatics
Tandem repeats over the edit distance
Bioinformatics
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
EURASIP Journal on Bioinformatics and Systems Biology
Autoregressive modeling and feature analysis of DNA sequences
EURASIP Journal on Applied Signal Processing
Spectrogram analysis of genomes
EURASIP Journal on Applied Signal Processing
A digital signal processing method for gene prediction with improved noise suppression
EURASIP Journal on Applied Signal Processing
Computing linear transforms of symbolic signals
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Detection and visualization of tandem repeats in DNA sequences
IEEE Transactions on Signal Processing
Fine-tuning the search for microsatellites
Journal of Discrete Algorithms
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Tandem repeats, which occur frequently in genomes, are related to gene regulatory functions and various diseases. In this paper, an efficient algorithm for tandem repeat detection is proposed. In our method, the spectrogram of a DNA sequence is analyzed based on the autoregressive model. Then, significant peaks in the spectrogram are selected, and the corresponding regions in the DNA sequence are analyzed to search for tandem repeats. Experiment results show that our method has a superior performance in comparison with other algorithms.