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BioinformaticsBioinformatics
Peer-reviewed journal article

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

Sergio Arredondo-AlonsoiD, Martin BootsmaiD, Yaïr HeiniD, Malbert R. C. Rogers, Jukka CoranderiD, Rob J. L. WillemsiD, Anita C. SchürchiD

Abstract

SummaryPlasmids can horizontally transmit genetic traits, enabling rapid bacterial adaptation to new environments and hosts. Short-read whole-genome sequencing data is 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 clustering 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.\n\nAvailability and implementationGplas 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\n\nContacta.c.schurch@umcutrecht.nl

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02 /Specification & Classification

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