ArticleScientific reports2018
One novel representation of DNA sequence based on the global and local position information.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Improved Visualization Method of DNA Sequences and its Application in Phylogenetic Analysis.Combinatorial chemistry & high throughput screening · 2026Article
- Bioinformatics tools for the sequence complexity estimates.Biophysical reviews · 2023Review
- DCiPatho: deep cross-fusion networks for genome scale identification of pathogens.Briefings in bioinformatics · 2023Article
- Detection of intra-family coronavirus genome sequences through graphical representation and artificial neural network.Expert systems with applications · 2022Article
- Non-standard bioinformatics characterization of SARS-CoV-2.Computers in biology and medicine · 2021Article
- A new graph-theoretic approach to determine the similarity of genome sequences based on nucleotide triplets.Genomics · 2020Article
- Control of Macromolecule Chains Structure in a Nanofiber.Polymers · 2020Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One novel representation of DNA sequence combining the global and local position information of the original sequence has been proposed to distinguish the different species. First, for the sufficient exploitation of global information, one graphical representation of DNA sequence has been formulated according to the curve of Fermat spiral. Then, for the consideration of local characteristics of DNA sequence, attaching each point in the curve of Fermat spiral with the related mass has been applied based on the relationships of neighboring four nucleotides. In this paper, the normalized moments of inertia of the curve of Fermat spiral which composed by the points with mass has been calculated as the numerical description of the corresponding DNA sequence on the first exons of beta-global genes. Choosing the Euclidean distance as the measurement of the numerical descriptions, the similarity between species has shown the performance of proposed method.
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