PCNE
PCNE estimates plasmid copy numbers from short-read sequencing data and assembled genomes.
Key Features:
- Input flexibility: PCNE accepts standard input data including raw reads and a genome assembly.
- Normalization strategy: PCNE applies a flexible normalization strategy for copy number estimation.
- GC-bias correction: PCNE includes an optional GC-bias correction step.
- Pipeline integration: PCNE is designed to complement existing plasmid detection pipelines.
Scientific Applications:
- Plasmid biology: PCNE enables deeper insights into plasmid biology through standardized copy number estimation.
- Antimicrobial resistance studies: PCNE supports research on antimicrobial resistance by quantifying plasmid copy numbers.
- Horizontal gene transfer studies: PCNE aids investigations of horizontal gene transfer by providing plasmid copy number estimates.
Methodology:
PCNE integrates state-of-the-art methodologies and applies a flexible normalization strategy with optional GC-bias correction to estimate plasmid copy numbers from raw reads and genome assemblies.
Topics
Collections
Details
- License:
- MIT
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Bash, R
- Added:
- 9/9/2026
- Last Updated:
- 9/9/2026
Operations
Data Inputs & Outputs
Calculation
Publications
Documentation
Command-line options
https://github.com/riccabolla/PCNEDownloads
- Source codeVersion: 3.3.1https://github.com/riccabolla/PCNE/releases/tag/v3.3.1
Links
Repository
https://github.com/riccabolla/PCNE