BioinformaticsBioinformaticsPeer-reviewed journal article
Autocycler: long-read consensus assembly for bacterial genomes
Ryan R. WickiD, Benjamin P. HowdeniD, Timothy Paul StineariD
Abstract
MotivationLong-read sequencing enables complete bacterial genome assemblies, but individual assemblers are imperfect and often produce sequence-level and structural errors. Consensus assembly using Trycycler can improve accuracy, but its lack of automation limits scalability. There is a need for an automated method to generate high-quality consensus bacterial genome assemblies from long-read data. ResultsWe present Autocycler, a command-line tool for generating accurate bacterial genome assemblies by combining multiple alternative long-read assemblies of the same genome. Without requiring user input, Autocycler builds a compacted De Bruijn graph from the input assemblies, clusters and filters contigs, trims overlaps and resolves consensus sequences by selecting the most common variant at each locus. It also supports manual curation when desired, allowing users to refine assemblies in challenging or important cases. In our evaluation using Oxford Nanopore Technologies reads from five bacterial isolates, Autocycler outperformed individual assemblers, automated pipelines and other consensus tools, producing assemblies with lower error rates and improved structural accuracy. Availability and implementationAutocycler is implemented in Rust, open-source and freely available at github.com/rrwick/Autocycler. It runs on Linux and macOS and is extensively documented.
- organism: bacteria (other)
- assay: long-read sequencing
- research focus: genome assembly
- approach: statistical model
- Citations
- 119
- FWCI
- 35.57
- Field percentile
- top 1%
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