ArticleEURASIP journal on bioinformatics & systems biology2014
A 2D graphical representation of the sequences of DNA based on triplets and its application.
Article in EURASIP journal on bioinformatics & systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 26 citations in OpenAlex.
- Improved Visualization Method of DNA Sequences and its Application in Phylogenetic Analysis.Combinatorial chemistry & high throughput screening · 2026Article
- Comparative study of encoded and alignment-based methods for virus taxonomy classification.Scientific reports · 2023Article
- Circular Helix-Like Curve: An Effective Tool of Biological Sequence Analysis and Comparison.Computational and mathematical methods in medicine · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we first present a new concept of 'weight' for 64 triplets and define a different weight for each kind of triplet. Then, we give a novel 2D graphical representation for DNA sequences, which can transform a DNA sequence into a plot set to facilitate quantitative comparisons of DNA sequences. Thereafter, associating with a newly designed measure of similarity, we introduce a novel approach to make similarities/dissimilarities analysis of DNA sequences. Finally, the applications in similarities/dissimilarities analysis of the complete coding sequences of β-globin genes of 11 species illustrate the utilities of our newly proposed method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.