PLoS ONEBioinformaticsPeer-reviewed journal article
MAECI: A Pipeline For Generating Consensus Sequence With Nanopore Sequencing Long-read Assembly and Error Correction
Abstract
Nanopore sequencing produces long reads and offers unique advantages over next-generation sequencing, especially for the assembly of draft bacterial genomes with improved completeness. However, assembly errors can occur due to data characteristics and assembly algorithms. To address these issues, we developed MAECI, a pipeline for generating consensus sequences from multiple assemblies of the same nanopore sequencing data and error correction. Systematic evaluation showed that MAECI is an efficient and effective pipeline to improve the accuracy and completeness of bacterial genome assemblies. The available codes and implementation are at https://github.com/langjidong/MAECI.
- organism: bacteria (other)
- assay: long-read sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 7
- FWCI
- 0.57
- Field percentile
- top 43%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A complete bacterial genome assembled de novo using only nanopore sequencing data
Nicholas James Loman, Joshua Quick, Jared T Simpson·Nature MethodsPeer-reviewed·Aug 1, 2015
- Evaluation of hybrid and non-hybrid methods for de novo assembly of nanopore reads
Ivan Sovic, Kresimir Krizanovic, … Mile Sikic·bioRxiv·Nov 13, 2015
- Oxford Nanopore Sequencing, Hybrid Error Correction, and de novo Assembly of a Eukaryotic Genome
Sara Goodwin, James Gurtowski, … W Richard McCombie·Genome ResearchPeer-reviewed·Oct 7, 2015
- Scaffolding and Completing Genome Assemblies in Real-time with Nanopore Sequencing
Minh Duc Cao, Son Hoang Nguyen, … Lachlan J M Coin·bioRxiv·May 22, 2016
- Evaluation of the accuracy of bacterial genome reconstruction with Oxford Nanopore R10.4.1 long-read-only sequencing
N. D. Sanderson, K. Hopkins, … N. Stoesser·Microbial GenomicsPeer-reviewed·May 7, 2024
- Fast and accurate assembly of Nanopore reads via progressive error correction and adaptive read selection
Ying Chen, Fan Nie, … Chuan‐Le Xiao·bioRxiv·Feb 1, 2020