工作流程
计算机科学
管道(软件)
扩增子测序
可用性
脚本语言
预处理器
放大器
数据科学
可视化
协议(科学)
原始数据
万维网
数据挖掘
数据库
人机交互
人工智能
生物
基因
操作系统
遗传学
病理
16S核糖体RNA
程序设计语言
替代医学
细菌
医学
聚合酶链反应
生物化学
作者
Salsabeel Yousuf,Hao Luo,Meiyin Zeng,Lei Chen,Tengfei Ma,Xiaofang Li,Maosheng Zheng,Xin Zhou,Liang Chen,Jiao Xi,Hongye Lu,Huiluo Cao,Xiaoya Ma,Bian Bian,Pengfan Zhang,Jiqiu Wu,Renyou Gan,Baolei Jia,Linyang Sun,Zhicheng Ju
出处
期刊:
日期:2024-11-20
卷期号:1 (2)
被引量:20
摘要
Abstract The advent of next‐generation sequencing has revolutionized microbiome research, enabling in‐depth exploration of microbial communities through amplicon sequencing. The widespread adoption of sequencing across diverse fields, coupled with decreasing costs, underscores the critical need for validated, fully automated, reproducible, and adaptable analysis pipelines. However, analyzing these high‐throughput datasets often necessitates extensive bioinformatics expertize, hindering accessibility for many researchers. To address this challenge, in 2023 we developed EasyAmplicon, a comprehensive, user‐friendly pipeline that integrates popular tools such as USEARCH and VSEARCH, offering a streamlined workflow from raw data to results. Remarkably, EasyAmplicon has garnered significant recognition within a year, as evidenced by 127 citations to date. To further facilitate the researchers and enhance usability, we present a detailed protocol with a video recording that guides users through each step of the pipeline, including data preprocessing (quality filtering, chimera removal), amplicon sequence variant analysis, diversity analysis, and data visualization. The protocol is designed for ease of use, with each step documented, allowing researchers to execute the workflow without requiring complex scripting skills. The EasyAmplicon pipeline is freely available on GitHub ( https://github.com/YongxinLiu/EasyAmplicon ).