PCNE: A Tool for Plasmid Copy Number Estimation

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.

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Publication Details

Journal
Bioinformatics and Biology Insights
Published
2026-02-23
DOI
https://doi.org/10.1177/11779322251410037
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
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article

PCNE: A Tool for Plasmid Copy Number Estimation

Valeria Cento, Riccardo Bollini
Bioinformatics and Biology Insights
Bacterial Identification and Susceptibility Testing
article

PCNE: A Tool for Plasmid Copy Number Estimation

Valeria Cento, Riccardo Bollini
article en

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.

Bioinformatics and Biology InsightsVol. 20
Humanitas University (IT), University of Pavia (IT), IRCCS Humanitas Research Hospital (IT)
Openalex Percentile: Top 44%
Bacterial Identification and Susceptibility Testing
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