Plassembler: an automated bacterial plasmid assembly tool

Author:

Bouras George12ORCID,Sheppard Anna E3,Mallawaarachchi Vijini4ORCID,Vreugde Sarah12

Affiliation:

1. Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide , Adelaide, South Australia 5005, Australia

2. The Department of Surgery – Otolaryngology Head and Neck Surgery, Central Adelaide Local Health Network , Adelaide, South Australia 5000, Australia

3. School of Biological Sciences, The University of Adelaide , Adelaide, South Australia 5005, Australia

4. Flinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University , Bedford Park , Adelaide, South Australia 5042, Australia

Abstract

Abstract Summary With recent advances in sequencing technologies, it is now possible to obtain near-perfect complete bacterial chromosome assemblies cheaply and efficiently by combining a long-read-first assembly approach with short-read polishing. However, existing methods for assembling bacterial plasmids from long-read-first assemblies often misassemble or even miss bacterial plasmids entirely and accordingly require manual curation. Plassembler was developed to provide a tool that automatically assembles and outputs bacterial plasmids using a hybrid assembly approach. It achieves increased accuracy and computational efficiency compared to the existing gold standard tool Unicycler by removing chromosomal reads from the input read sets using a mapping approach. Availability and implementation Plassembler is implemented in Python and is installable as a bioconda package using ‘conda install -c bioconda plassembler’. The source code is available on GitHub at https://github.com/gbouras13/plassembler. The full benchmarking pipeline can be found at https://github.com/gbouras13/plassembler_simulation_benchmarking, while the benchmarking input FASTQ and output files can be found at https://doi.org/10.5281/zenodo.7996690.

Funder

University of Adelaide Barbara Kidman Women’s Fellowship

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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