数字农科院2.0

EasyAmplicon 2: Expanding PacBio and Nanopore Long Amplicon Sequencing Analysis Pipeline for Microbiome

文献类型： 外文期刊

作者： Luo, Hao;Bai, Defeng;Zhu, Zhihao;Yousuf, Salsabeel;Yang, Haifei;Xun, Jiani;Zeng, Meiyin;Wang, Yao;Gao, Yunyun;Peng, Kai;Xu, Shanshan;Zhou, Yuanping;Zhang, Tianyuan;Ma, Chuang;Hou, Huiyu;Wan, Xiulin;Zhou, Yang;Jia, Baolei;Huang, Shi;Gan, Renyou;Wen, Tao;Chen, Tong;Chen, Xia;Li, Xiaofang;Liu, Yong-Xin

作者机构：

关键词： amplicon;microbiome;Nanopore;PacBio;Pipeline

期刊名称： ADVANCED SCIENCE

ISSN：

年卷期： 2025 年

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： In the past decade, third-generation sequencing technologies (such as PacBio (Pacific Biosciences) and Nanopore) have become gradually matured and are widely used for microbial taxonomy and quantification. Compared with Illumina sequencing, PacBio or Nanopore has advantages with long reads and high resolution in taxonomic classification. However, there is currently a lack of an easy-to-use, reproducible, and community-supported pipeline for PacBio or Nanopore amplicon sequencing data analysis. To address this shortcoming, the highly cited EasyAmplicon is updated to version 2, a pipeline fully supporting third-generation full-length amplicon data. EasyAmplicon 2 is a user-friendly pipeline that embraces data analysis and visualization options for data obtained from various sequencing technologies (Illumina, BGI (Beijing Genomics Institution), PacBio, Nanopore or Qitan). It integrates popular tools such as DADA2 and Emu, and provides a workflow from raw data to publication-ready visualizations. EasyAmplicon 2 inherits the advantages of the previous version and further optimizes the visualization part. The updated version of the pipeline includes data preprocessing, annotation, and quantification of amplicon sequence variants, intergroup comparison, and visualization for third-generation sequencing. EasyAmplicon 2 provides a simple and easy-to-use analysis environment for long-read amplicon sequencing data analysis. It is available for free on GitHub (https://github.com/YongxinLiu/EasyAmplicon).

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