Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China.
Bioinformatics. 2022 Feb 7;38(5):1378-1384. doi: 10.1093/bioinformatics/btab818.
The metabolome and microbiome disorders are highly associated with human health, and there are great demands for dual-omics interaction analysis. Here, we designed and developed an integrative platform, 3MCor, for metabolome and microbiome correlation analysis under the instruction of phenotype and with the consideration of confounders.
Many traditional and novel correlation analysis methods were integrated for intra- and inter-correlation analysis. Three inter-correlation pipelines are provided for global, hierarchical and pairwise analysis. The incorporated network analysis function is conducive to rapid identification of network clusters and key nodes from a complicated correlation network. Complete numerical results (csv files) and rich figures (pdf files) will be generated in minutes. To our knowledge, 3MCor is the first platform developed specifically for the correlation analysis of metabolome and microbiome. Its functions were compared with corresponding modules of existing omics data analysis platforms. A real-world dataset was used to demonstrate its simple and flexible operation, comprehensive outputs and distinctive contribution to dual-omics studies.
3MCor is available at http://3mcor.cn and the backend R script is available at https://github.com/chentianlu/3MCorServer.
Supplementary data are available at Bioinformatics online.
代谢组学和微生物组学紊乱与人类健康高度相关,因此对双组学相互作用分析有很大的需求。在这里,我们设计并开发了一个集成平台 3MCor,该平台根据表型指令并考虑混杂因素,用于代谢组学和微生物组学的相关性分析。
我们整合了许多传统和新颖的相关分析方法,用于进行内相关和外相关分析。提供了三个相互关联的管道,用于全局、层次和成对分析。纳入的网络分析功能有助于从复杂的相关网络中快速识别网络簇和关键节点。完整的数值结果(csv 文件)和丰富的图形(pdf 文件)将在几分钟内生成。据我们所知,3MCor 是专门为代谢组学和微生物组学的相关性分析而开发的第一个平台。我们将其功能与现有的组学数据分析平台的相应模块进行了比较。使用真实数据集演示了其简单灵活的操作、全面的输出以及对双组学研究的独特贡献。
3MCor 可在 http://3mcor.cn 上获得,后端 R 脚本可在 https://github.com/chentianlu/3MCorServer 上获得。
补充数据可在生物信息学在线获得。