2-AIN-506, 2-AIN-252: Seminar in Bioinformatics (2), (4)
Summer 2025
Abstrakt

Renmao Tian, Jizhong Zhou, Behzad Imanian. PlasmidHunter: accurate and fast prediction of plasmid sequences using gene content profile and machine learning. Briefings in bioinformatics, 25(4). 2024.

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Download from publisher: https://doi.org/10.1093/bib/bbae322 PubMed

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Abstract:

Plasmids are extrachromosomal DNA found in microorganisms. They often carry 
beneficial genes that help bacteria adapt to harsh conditions. Plasmids are also 
important tools in genetic engineering, gene therapy, and drug production. 
However, it can be difficult to identify plasmid sequences from chromosomal 
sequences in genomic and metagenomic data. Here, we have developed a new tool 
called PlasmidHunter, which uses machine learning to predict plasmid sequences 
based on gene content profile. PlasmidHunter can achieve high accuracies (up to 
97.6%) and high speeds in benchmark tests including both simulated contigs and 
real metagenomic plasmidome data, outperforming other existing tools.