The identification of plasmids from assembled genomes is well supported by numerous different tools, yet very few incorporate a plasmid copy number estimation step. This limits a comprehensive plasmid analysis, often leaving researchers to perform copy number estimation independently, leading to a lack of standardization. Plasmid Copy Number Estimator (PCNE) addresses this by providing an accessible and versatile command-line tool for estimating plasmid copy numbers directly from short-read sequencing data. Starting from standard input data like raw reads and a genome assembly, PCNE allows to apply a flexible normalization strategy, including an optional GC-bias correction, and is designed to complement existing plasmid detection pipelines. By simplifying and standardizing copy number estimation, PCNE, through the integration of state-of-art methodologies, aims to empower researchers to gain deeper insights into plasmid biology, particularly in studies of antimicrobial resistance and horizontal gene transfer.

PCNE: A Tool for Plasmid Copy Number Estimation

Cento, Valeria
2026-01-01

Abstract

The identification of plasmids from assembled genomes is well supported by numerous different tools, yet very few incorporate a plasmid copy number estimation step. This limits a comprehensive plasmid analysis, often leaving researchers to perform copy number estimation independently, leading to a lack of standardization. Plasmid Copy Number Estimator (PCNE) addresses this by providing an accessible and versatile command-line tool for estimating plasmid copy numbers directly from short-read sequencing data. Starting from standard input data like raw reads and a genome assembly, PCNE allows to apply a flexible normalization strategy, including an optional GC-bias correction, and is designed to complement existing plasmid detection pipelines. By simplifying and standardizing copy number estimation, PCNE, through the integration of state-of-art methodologies, aims to empower researchers to gain deeper insights into plasmid biology, particularly in studies of antimicrobial resistance and horizontal gene transfer.
2026
Plasmid copy number
bioinformatics
microbiology
software
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/106469
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