ArticleComputers in biology and medicine2021
Non-standard bioinformatics characterization of SARS-CoV-2.
Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Euro-Asian hybrids of Echinococcus multilocularis from red foxes in northern and northeastern Poland result from secondary contact between long-isolated populations.Scientific reports · 2026Article
- 20D-Dynamic Representation of Protein Sequences Combined with K-means Clustering.Combinatorial chemistry & high throughput screening · 2026Article
- Improved Visualization Method of DNA Sequences and its Application in Phylogenetic Analysis.Combinatorial chemistry & high throughput screening · 2026Article
- Overview and Prospects of DNA Sequence Visualization.International journal of molecular sciences · 2025Review
- Classification Maps: A New Mathematical Tool Supporting the Diagnosis of Age-Related Macular Degeneration.Journal of personalized medicine · 2023Article
- 4D-Dynamic Representation of DNA/RNA Sequences: Studies on Genetic Diversity ofLife (Basel, Switzerland) · 2022Article
- A Computational Model of Similarity Analysis in Quality of Life Research: An Example of Studies in Poland.Life (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A non-standard bioinformatics method, 4D-Dynamic Representation of DNA/RNA Sequences, aiming at an analysis of the information available in nucleotide databases, has been formulated. The sequences are represented by sets of "material points" in a 4D space - 4D-dynamic graphs. The graphs representing the sequences are treated as "rigid bodies" and characterized by values analogous to the ones used in the classical dynamics. As the graphical representations of the sequences, the projections of the graphs into 2D and 3D spaces are used. The method has been applied to an analysis of the complete genome sequences of the 2019 novel coronavirus. As a result, 2D and 3D classification maps are obtained. The coordinate axes in the maps correspond to the values derived from the exact formulas characterizing the graphs: the coordinates of the centers of mass and the 4D moments of inertia. The points in the maps represent sequences and their coordinates are used as the classifiers. The main result of this work has been derived from the 3D classification maps. The distribution of clusters of points which emerged in these maps, supports the hypothesis that SARS-CoV-2 may have originated in bat and in pangolin. Pilot calculations for Zika virus sequence data prove that the proposed approach is also applicable to a description of time evolution of genome sequences of viruses.
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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.