EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research

文献类型： 外文期刊

第一作者： Bai, Defeng

作者： Bai, Defeng;Xun, Jiani;Ma, Chuang;Luo, Hao;Yang, Haifei;Hou, Huiyu;Lv, Hujie;Wan, Xiulin;Wang, Yao;Yousuf, Salsabeel;Zeng, Meiyin;Zhang, Tianyuan;Gao, Yunyun;Liu, Yong-Xin;Chen, Tong;Ma, Chuang;Yang, Haifei;Cao, Chen;Cao, Xiaofeng;Cui, Jianzhou;Deng, Yuan-Ping;Deng, Zhaochao;Yu, Hao;Zhang, Chunfang;Dong, Wenxin;Dong, Wenxue;Du, Juan;Fang, Qunkai;Fang, Wei;Fang, Yue;Luan, Yaning;Fu, Fangtian;Fu, Min;Fu, Yi-Tian;Gao, He;Ge, Jingping;Guo, Yuhao;Gong, Qinglong;Lou, Wenbo;Gu, Lunda;Yang, Li;Guo, Peng;Hai, Tang;Liu, Hao;He, Jieqiang;He, Zi-Yang;Huang, Can;Ji, Shuai;Jiang, ChangHai;Jiang, Gui-Lai;Jiang, Lingjuan;Jin, Ling N.;Li, Changchao;Kan, Yuhe;Kang, Da;Kou, Jin;Lam, Ka-Lung;Li, Chong;Li, Fuyi;Li, Liwei;Li, Miao;Li, Xin;Li, Ye;Li, Zheng-Tao;Zhu, Chengshuai;Liang, Jing;Mo, Jiayuan;Lin, Yongxin;Liu, Changzhen;Liu, Danni;Zhang, Jing;Chen, Shifu;Liu, Fengqin;Liu, Jia;Liu, Tianrui;Liu, Tingting;Wang, Xinlong;Liu, Xinyuan;Luo, Yuanyuan;Liu, Yaqun;Liu, Bangyan;Liu, Minghao;Lv, Hujie;Ma, Tengfei;Mai, Zongjiong;Niu, Dongze;Pan, Zhuo;Qi, Heyuan;Shi, Zhanyao;Song, Chunjiao;Sun, Fuxiang;Sun, Yan;Tian, Sihui;Wang, Guoliang;Wang, Hongyang;Wang, Hongyu;Wang, Huanhuan;Wang, Jing;Wang, Jun;Wang, Kang;Wang, Leli;Yao, Xiaofang;Wang, Shao-kun;Xiao, Zufei;Xing, Huichun;Xu, Yifan;Yang, Song;Yan, Shu-yan;Zhang, Yi-Bo;Yang, Yuanming;Lei, Yu;Yuan, Zhengrong;Zhang, Chunge;Zhang, Huimin;Zhang, Na;Zhang, Yupeng;Zhang, Zheng;Zhou, Mingda;Zhou, Yuanping;Zhu, Zhihao;Zhu, Lin;Zhu, Yue;Zou, Hongqin;Zuo, Anna;Dong, Wenxuan;Wen, Tao;Chen, Shifu;Chen, Shifu;Li, Guoliang

作者机构：

关键词： metagenome; microbiome; microbiota; pipeline; visualization

期刊名称：IMETA （ 影响因子：33.2； 五年影响因子：33.2 ）

ISSN： 2770-5986

年卷期： 2025 年 4 卷 1 期

页码：

收录情况： SCI

摘要： Shotgun metagenomics has become a pivotal technology in microbiome research, enabling in-depth analysis of microbial communities at both the high-resolution taxonomic and functional levels. This approach provides valuable insights of microbial diversity, interactions, and their roles in health and disease. However, the complexity of data processing and the need for reproducibility pose significant challenges to researchers. To address these challenges, we developed EasyMetagenome, a user-friendly pipeline that supports multiple analysis methods, including quality control and host removal, read-based, assembly-based, and binning, along with advanced genome analysis. The pipeline also features customizable settings, comprehensive data visualizations, and detailed parameter explanations, ensuring its adaptability across a wide range of data scenarios. Looking forward, we aim to refine the pipeline by addressing host contamination issues, optimizing workflows for third-generation sequencing data, and integrating emerging technologies like deep learning and network analysis, to further enhance microbiome insights and data accuracy. EasyMetageonome is freely available at https://github.com/YongxinLiu/EasyMetagenome.

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