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Genomic signal processing methods for computation of alignment-free distances from DNA sequences
Ernesto Borrayo1, E Gerardo Mendizabal-Ruiz1, Hugo Vélez-Pérez1
1Computer Sciences Department, CUCEI - Universidad de Guadalajara, Guadalajara, México.
Plos One
|November 14, 2014
Summary
Genomic signal processing (GSP) offers a new alignment-free method (GAFD) to compute DNA sequence distances. This approach uses doublet values for signal mapping and digital signal processing (DSP) metrics for fragment characterization.
Area of Science:
- Bioinformatics
- Genomics
- Digital Signal Processing
Background:
- Genomic signal processing (GSP) applies digital signal processing (DSP) tools to analyze genomic data.
- Computing distances between DNA sequences is a crucial but underexplored area within GSP.
- Existing methods may require sequence alignment, which can be computationally intensive.
Purpose of the Study:
- To introduce GAFD, a novel GSP alignment-free method for computing distances between DNA sequences.
- To explore the use of doublet values in DNA sequence-to-signal mapping to enhance signal representation.
- To investigate the application of DSP distance metrics for characterizing DNA signal fragments.
Main Methods:
- Developed GAFD, a GSP-based alignment-free distance computation method.
- Introduced a DNA sequence-to-signal mapping function utilizing doublet values.
- Applied three DSP distance metrics as descriptors for DNA signal fragment analysis.
Main Results:
- Demonstrated the feasibility of the GAFD method for calculating sequence distances.
- Showcased the effectiveness of doublet values in increasing signal amplitude variations.
- Confirmed the utility of DSP distance metrics for characterizing DNA fragments.
Conclusions:
- GAFD presents a viable alignment-free approach for genomic sequence distance computation.
- The proposed sequence-to-signal mapping enhances signal representation for GSP applications.
- DSP-based descriptors offer a novel way to characterize DNA fragments within genomic signal processing frameworks.
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