版本Version：v1.14

更新时间Update：2022/3/20

• 0Install.sh：软件和数据库安装Software and database installation
• 1Pipeline.sh：分析流程Analysis pipeline
• 2StatPlot.sh：统计和可视化代码Statistics and visualization script

Shell代码兼容Markdown格式，可使用有道云笔记中Markdown笔记中查看，有目录导航更方便浏览和阅读。

The Shell code is compatible with the Markdown format, which can be viewed in the Markdown editor, such as YoudaoCloudNotes, VSCode, and the directory navigation is more convenient for browsing and reading.

各文档附录部分为常见问题，供参考。

The appendices of each document are frequently asked questions for reference.

在64位版本系统，如Ubuntu 18.04/20.04+，CentOS7/8+的系统，按代码0，1，2逐步运行

In 64-bit version system, such as Ubuntu 18.04/20.04+, CentOS7/8+ system, run step by step according to code 0, 1, 2.

在命令行，或RStudio的Shell环境下使用，可以有道云笔记中显示代码目录，方便预览大纲

Used in the command line or RStudio's Shell environment. You can display the code directory in Youdaoyun Notes, which is convenient for previewing the outline

使用此流程代码，请引用To use this scripts, please cite:

Tong Chen, Yong-Xin Liu, Luqi Huang. 2022. ImageGP: An easy-to-use data visualization web server for scientific researchers. iMeta 1: e5. https://doi.org/10.1002/imt2.5

Yong-Xin Liu, Yuan Qin, Tong Chen, Meiping Lu, Xubo Qian, Xiaoxuan Guo, et al. 2021. A practical guide to amplicon and metagenomic analysis of microbiome data. Protein & Cell 12: 315-330. https://doi.org/10.1007/s13238-020-00724-8