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


ABSTRACT:

Summary

Plasmids can horizontally transmit genetic traits, enabling rapid bacterial adaptation to new environments and hosts. Short-read whole-genome sequencing data are often applied to large-scale bacterial comparative genomics projects but the reconstruction of plasmids from these data is facing severe limitations, such as the inability to distinguish plasmids from each other in a bacterial genome. We developed gplas, a new approach to reliably separate plasmid contigs into discrete components using sequence composition, coverage, assembly graph information and network partitioning based on a pruned network of plasmid unitigs. Gplas facilitates the analysis of large numbers of bacterial isolates and allows a detailed analysis of plasmid epidemiology based solely on short-read sequence data.

Availability and implementation

Gplas is written in R, Bash and uses a Snakemake pipeline as a workflow management system. Gplas is available under the GNU General Public License v3.0 at https://gitlab.com/sirarredondo/gplas.git.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Arredondo-Alonso S 

PROVIDER: S-EPMC7320608 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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

Arredondo-Alonso Sergio S   Bootsma Martin M   Hein Yaïr Y   Rogers Malbert R C MRC   Corander Jukka J   Willems Rob J L RJL   Schürch Anita C AC  

Bioinformatics (Oxford, England) 20200601 12


<h4>Summary</h4>Plasmids can horizontally transmit genetic traits, enabling rapid bacterial adaptation to new environments and hosts. Short-read whole-genome sequencing data are often applied to large-scale bacterial comparative genomics projects but the reconstruction of plasmids from these data is facing severe limitations, such as the inability to distinguish plasmids from each other in a bacterial genome. We developed gplas, a new approach to reliably separate plasmid contigs into discrete c  ...[more]

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