MAECI: A Pipeline for Generating Consensus Sequence with Nanopore Sequencing Long-read Assembly and Error Correction

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2022 May 20

PMID 35594250

Authors

Jidong Lang

Affiliations

Soon will be listed here.

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.

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