ArticleFrontiers in microbiology2024
CGRWDL: alignment-free phylogeny reconstruction method for viruses based on chaos game representation weighted by dynamical language model.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- PhageCGRNet: Integrating Chaos Game Representation of Genomes with Convolutional Neural Network for accurate phage host classification prediction.PLoS computational biology · 2026Article
- 20D-Dynamic Representation of Protein Sequences Combined with K-means Clustering.Combinatorial chemistry & high throughput screening · 2026Article
- Article
- Genomic similarity to quantitatively evaluate the reassortment potential of H7N9 with other subtypes of avian influenza viruses.Frontiers in cellular and infection microbiology · 2026Article
- Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.Scientific reports · 2025Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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Abstract
Traditional alignment-based methods meet serious challenges in genome sequence comparison and phylogeny reconstruction due to their high computational complexity. Here, we propose a new alignment-free method to analyze the phylogenetic relationships (classification) among species. In our method, the dynamical language (DL) model and the chaos game representation (CGR) method are used to characterize the frequency information and the context information of
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