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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/plassemblerₛimulationbenchmarking, while the benchmarking input FASTQ and output files can be found at https: //doi. org/10. 5281/zenodo. 7996690.
Bouras et al. (Tue,) studied this question.