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Related Experiment Video

Updated: Dec 24, 2025

Plasmid Stability Analysis with Open-Source Droplet Microfluidics
07:43

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Published on: December 27, 2024

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gplas: a comprehensive tool for plasmid analysis using short-read graphs.

Sergio Arredondo-Alonso1, Martin Bootsma2,3, Yaïr Hein3

  • 1Department of Medical Microbiology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands.

Bioinformatics (Oxford, England)
|April 10, 2020
PubMed
Summary
This summary is machine-generated.

We developed gplas, a novel computational approach to accurately separate bacterial plasmids from whole-genome sequencing data. This method enhances plasmid epidemiology studies using only short-read sequencing information.

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Last Updated: Dec 24, 2025

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Area of Science:

  • Bacterial genomics
  • Plasmid biology
  • Bioinformatics

Background:

  • Plasmids facilitate bacterial adaptation and spread of genetic traits.
  • Short-read sequencing is crucial for bacterial genomics but struggles with plasmid reconstruction.
  • Distinguishing individual plasmids within a bacterial genome is a significant challenge.

Purpose of the Study:

  • To develop a robust computational method for separating plasmid contigs from bacterial genomes.
  • To enable reliable plasmid epidemiology analysis using short-read sequencing data.
  • To overcome limitations in reconstructing plasmids from large-scale bacterial comparative genomics projects.

Main Methods:

  • Implemented gplas, a novel approach utilizing sequence composition, coverage, and assembly graph information.
  • Employed network partitioning based on a pruned network of plasmid unitigs for plasmid separation.
  • Developed a workflow management system using R, Bash, and Snakemake.

Main Results:

  • Gplas reliably separates plasmid contigs into discrete components.
  • The method enables accurate analysis of plasmid epidemiology from short-read data.
  • Facilitates large-scale analysis of bacterial isolates and their plasmids.

Conclusions:

  • Gplas offers a significant advancement in bacterial plasmid analysis.
  • The tool overcomes key limitations in reconstructing plasmids from short-read sequencing data.
  • Enables detailed plasmid epidemiology studies with high accuracy and scalability.