ArticleComputational and structural biotechnology journal2019
Rapid Bacterial Species Delineation Based on Parameters Derived From Genome Numerical Representations.
Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genome-Informed Identification of Species-Specific Diagnostic Markers for Listeria Using Pangenome Analysis.Pathogens (Basel, Switzerland) · 2026Article
- In-Depth Genome-Based Analysis of Shigella spp. and Escherichia spp.: Resolving Ambiguities and Unveiling Phylogenetic Relationships.Current microbiology · 2025Article
- Reclassification of two Nocardiopsis species using whole genome analysis.Antonie van Leeuwenhoek · 2024Article
- Article
- Genomic attributes and characterization of novel exopolysaccharide-producing bacteriumFrontiers in microbiology · 2023Article
- Gene flow and introgression are pervasive forces shaping the evolution of bacterial species.Genome biology · 2022Article
- EnteroBase: hierarchical clustering of 100 000s of bacterial genomes into species/subspecies and populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- getSequenceInfo: a suite of tools allowing to get genome sequence information from public repositories.BMC bioinformatics · 2022Article
- In-depth genome analysis of Bacillus sp. BH32, a salt stress-tolerant endophyte obtained from a halophyte in a semiarid region.Applied microbiology and biotechnology · 2022Article
- Draft Genome Sequence ofEvolutionary bioinformatics online · 2022Article
- Historical, current, and emerging tools for identification and serotyping of Shigella.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021Review
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Authors and funding
5 authors.
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Abstract
Species delineation based on bacterial genomes is an essential part of the research of prokaryotes. In silico genome-to-genome comparison methods are computationally demanding, but much less tedious and error prone than the wet-lab methods. In this paper, we present a novel method for the delineation of bacterial genomes based on genomic signal processing. The proposed method uses numerical representations of whole bacterial genomes, phase signal and cumulated phase signal, from which four parameters are derived for each genome. The parameters characterize a genome and their calculation is independent of the other genomes comprising a delineation dataset. The delineation itself is processed as a calculation of the parameters' average similarity. The method was statistically verified on 1826 bacterial genomes. A similarity threshold of 96% was set based on the receiver operating characteristic curve that featured sensitivity of 99.78% and specificity of 97.25%. Additionally, comparative analysis on another 33 bacterial genomes was conducted using standard delineation tools as these tools were not able to process the dataset of 1826 genomes using desktop computer. The proposed method achieved comparable or better delineation results in comparison with the standard tools. Besides the excellent delineation results, another great advantage of the method is its small computational demands, which enables the delineation of thousands of genomes on a desktop computer. The calculation of the parameters takes tens of minutes for thousands of genomes. Moreover, they can be calculated in advance by creating a database, meaning the delineation itself is then completed in a matter of seconds.
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