Feng Kai, Peng Xi, Zhang Zheng, Gu Songsong, He Qing, Shen Wenli, Wang Zhujun, Wang Danrui, Hu Qiulong, Li Yan, Wang Shang, Deng Ye
CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China.
Collegeof Resources and Environment University of Chinese Academy of Sciences Beijing China.
Imeta. 2022 Mar 16;1(2):e13. doi: 10.1002/imt2.13. eCollection 2022 Jun.
Integrated network analysis pipeline (iNAP) is an online analysis pipeline for generating and analyzing comprehensive ecological networks in microbiome studies. It is implemented in two sections, that is, network construction and network analysis, and integrates many open-access tools. Network construction contains multiple feasible alternatives, including correlation-based approaches (Pearson's correlation and Spearman's rank correlation along with random matrix theory, and sparse correlations for compositional data) and conditional dependence-based methods (extended local similarity analysis and sparse inverse covariance estimation for ecological association inference), while network analysis provides topological structures at different levels and the potential effects of environmental factors on network structures. Considering the full workflow, from microbiome data set to network result, iNAP contains the molecular ecological network analysis pipeline and interdomain ecological network analysis pipeline (IDENAP), which correspond to the intradomain and interdomain associations of microbial species at multiple taxonomic levels. Here, we describe the detailed workflow by taking IDENAP as an example and show the comprehensive steps to assist researchers to conduct the relevant analyses using their own data sets. Afterwards, some auxiliary tools facilitating the pipeline are introduced to effectively aid in the switch from local analysis to online operations. Therefore, iNAP, as an easy-to-use platform that provides multiple network-associated tools and approaches, can enable researchers to better understand the organization of microbial communities. iNAP is available at http://mem.rcees.ac.cn:8081 with free registration.
整合网络分析流程(iNAP)是一种用于微生物组研究中生成和分析综合生态网络的在线分析流程。它分为两个部分实现,即网络构建和网络分析,并集成了许多开放获取工具。网络构建包含多种可行的方法,包括基于相关性的方法(Pearson相关性和Spearman秩相关性以及随机矩阵理论,以及用于成分数据的稀疏相关性)和基于条件依赖性的方法(扩展局部相似性分析和用于生态关联推断的稀疏逆协方差估计),而网络分析提供不同层次的拓扑结构以及环境因素对网络结构的潜在影响。考虑到从微生物组数据集到网络结果的完整工作流程,iNAP包含分子生态网络分析流程和域间生态网络分析流程(IDENAP),它们分别对应于多个分类水平上微生物物种的域内和域间关联。在此,我们以IDENAP为例描述详细的工作流程,并展示全面的步骤以协助研究人员使用他们自己的数据集进行相关分析。之后,介绍一些有助于该流程的辅助工具,以有效地帮助从本地分析切换到在线操作。因此,iNAP作为一个易于使用的平台,提供了多种与网络相关的工具和方法,可以使研究人员更好地理解微生物群落的组织。可通过免费注册在http://mem.rcees.ac.cn:8081获取iNAP。