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# 易宏基因组(EasyMetagenome)——最简单易学易用的宏基因组分析流程 | ||
# 易宏基因组——最简单易学易用的宏基因组分析流程 | ||
# EasyMetagenome - the easiest metagenome analysis workflow to learn and use | ||
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版本:EasyMetagenome v1.11 | ||
版本Version:v1.14 | ||
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更新时间:2021/5/7 | ||
更新时间Update:2022/3/20 | ||
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## 文件介绍 | ||
## 文件介绍File introduction | ||
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- 1SoftDb.sh:软件和数据库安装 | ||
- 2Pipeline.sh:分析流程 | ||
- 3StatPlot.sh:统计和可视化代码 | ||
- 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 | ||
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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。 | ||
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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. | ||
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各文档附录部分为常见问题,供参考。 | ||
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## 使用方法 | ||
The appendices of each document are frequently asked questions for reference. | ||
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## 使用方法Instructions | ||
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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 | ||
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在64位版本系统,如Ubuntu 18.04/20.04,CentOS7/8的系统,按代码1,2,3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. | ||
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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 | ||
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## 引用 | ||
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 | ||
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## 引用Citation | ||
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使用此流程代码,请引用To use this scripts, please cite: | ||
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使用此流程代码,请引用: | ||
**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 | ||
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Yong-Xin Liu, Yuan Qin, Tong Chen, Meiping Lu, Xubo Qian, Xiaoxuan Guo & Yang Bai. (2021). A practical guide to amplicon and metagenomic analysis of microbiome data. Protein & Cell 12, 315-330, doi: https://doi.org/10.1007/s13238-020-00724-8 | ||
**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 |
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ID Kingdom Phylum Class Order Family Genus Species score completeness contamination strain_heterogeneity size N50 cluster_members | ||
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s_ERR011348.2 d__Bacteria p__Firmicutes_A c__Clostridia o__Oscillospirales f__Acutalibacteraceae g__Ruminococcus_E s__Ruminococcus_E bromii_B 97.88723778390194 99.11 0.67 0.0 2044830 17967 3 | ||
mix_all.4 d__Bacteria p__Firmicutes_A c__Clostridia o__Oscillospirales f__Acutalibacteraceae g__CAG-177 s__CAG-177 sp003514385 49.83372202351667 58.71 2.43 66.67 1228061 2029 1 | ||
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mix_all.2 d__Bacteria p__Firmicutes_A c__Clostridia o__Lachnospirales f__Lachnospiraceae g__Butyrivibrio_A s__Butyrivibrio_A crossotus 86.57505764739355 85.57 0.22 100.0 2030996 5890 2 | ||
mix_all.10 d__Bacteria p__Firmicutes_C c__Negativicutes o__Acidaminococcales f__Acidaminococcaceae g__Phascolarctobacterium s__Phascolarctobacterium faecium 40.103268739563454 54.42 3.33 21.43 1090128 1735 1 | ||
mix_all.6 d__Bacteria p__Bacteroidota c__Bacteroidia o__Bacteroidales f__Bacteroidaceae g__Bacteroides s__Bacteroides uniformis 73.74557542187483 75.17 0.73 50.0 2932691 5262 2 |
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ID score completeness contamination strain_heterogeneity size N50 cluster_members | ||
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mix_all.5 57.922352949106376 68.33 2.68 50.0 1150209 2017 1 | ||
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binning/result/itol/plan1/iTOL_gradient-cluster_members.txt
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binning/result/itol/plan1/iTOL_gradient-strain_heterogeneity.txt
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DATA | ||
mix_all.9 s__Erysipelatoclostridium sp000752095 | ||
s_ERR011348.2 s__Ruminococcus_E bromii_B | ||
mix_all.4 s__CAG-177 sp003514385 | ||
mix_all.5 s__CAG-180 sp000432435 | ||
s_ERR011349.1 s__CAG-273 sp000435755 | ||
mix_all.8 s__CAG-465 sp000433755 | ||
mix_all.2 s__Butyrivibrio_A crossotus | ||
mix_all.10 s__Phascolarctobacterium faecium | ||
mix_all.6 s__Bacteroides uniformis |
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