ArticleCombinatorial chemistry & high throughput screening2026
Improved Visualization Method of DNA Sequences and its Application in Phylogenetic Analysis.
Article in Combinatorial chemistry & high throughput screening, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Generative artificial intelligence in animal genomics for smart agriculture: Applications, challenges, and future prospects.Veterinary and animal science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
introductionWith a large number of species' genomes assembled, sequence comparison has become an effective method for further studying biological classification and evolution. Traditional sequence alignment relies on predefined scoring functions, but it is computationally intensive and lacks molecular justification for scoring the differences between sequences. Therefore, we have developed a graphical representation method for DNA sequences to facilitate better sequence comparison and evolutionary analysis.
methodIn this article, we introduce a novel method for representing DNA sequences using three-dimensional (3D) graphics. This method possesses two significant properties: (1) the graphical representation is acyclic; (2) each DNA sequence maintains a bijective relationship with its graphical representation.
resultLeveraging this proposed visualization method, we computed the corresponding ALE index for any DNA sequence by converting it into an L/L matrix and constructed a 12-dimensional feature vector. The feasibility of our proposed method has been validated through the construction of phylogenetic trees in four test sets: terrestrial vertebrates, hantavirus, fish and Japanese encephalitis virus. DISCUSSION: This method enables both quantitative analysis and visual comparison of DNA sequences, providing a versatile tool for evolutionary studies.
Indexed as
Identifiers
40605169What OpenQuestion holds
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.