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Integrating DNA barcoding and machine learning for species identification: Comparative genomics and codon usage bias of chloroplasts in Gentiana sect. Cruciata.

Journal of plant physiology - 1 Apr 2026

Zheng Mengdi, Gao Mingchen, Zhang Zeran, Song Xi

Abstract excerpt

This study integrates chloroplast genome comparison, codon usage analysis, machine learning, and DNA barcoding to elucidate the phylogeny, genetic diversity, and species identification of Gentiana Sect. Cruciata. Perform chloroplast genome analysis using IRscope (boundary analysis), MISA (SSR detection), and mVISTA (variation alignment). Based on ChiPlot, CodonW, and CUSP analysis, factors influencing codon...

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Chloroplasts
Codon Usage
DNA Barcoding, Taxonomic
Genome, Chloroplast
Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Machine Learning

Species Specificity

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PMID: 41775217
DOI: 10.1016/j.jplph.2026.154730

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SMO

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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