MAECI: A pipeline for generating consensus sequence with nanopore sequencing long-read assembly and error correction

被引:5
|
作者
Lang, Jidong [1 ]
机构
[1] Qitan Technol Beijing Co Ltd, Dept Bioinformat, Beijing, Peoples R China
来源
PLOS ONE | 2022年 / 17卷 / 05期
关键词
ALIGNMENT;
D O I
10.1371/journal.pone.0267066
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:9
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