Li Yueer, Peng Chen, Chi Fei, Huang Zinuo, Yuan Mengyi, Zhou Xin, Jiang Chao
MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang 310030, China.
Innovation Center of Yangtze River Delta, Zhejiang University, 828 Zhongxing Road, Jiashan County, Jiaxing, Zhejiang 314103, China.
Brief Bioinform. 2024 Nov 22;26(1). doi: 10.1093/bib/bbae679.
Accurate and rapid taxonomic classifications are essential for systematically exploring organisms and metabolites in diverse environments. Many tools have been developed for biological taxonomic trees, but limitations apply, and a streamlined method for constructing chemical taxonomic trees is notably absent. We present the iPhylo suite (https://www.iphylo.net/), a comprehensive, automated, and interactive platform for biological and chemical taxonomic analysis. The iPhylo suite features web-based modules for the interactive construction and annotation of taxonomic trees and a stand-alone command-line interface (CLI) for local operation or deployment on high-performance computing (HPC) clusters. iPhylo supports National Center for Biotechnology Information (NCBI) taxonomy for biologicals and ChemOnt and NPClassifier for chemical classifications. The iPhylo visualization module, fully implemented in R, allows users to save progress locally and customize the underlying R code. Finally, the CLI module facilitates analysis across all hierarchical relational databases. We showcase the iPhylo suite's capabilities for visualizing environmental microbiomes, analyzing gut microbial metabolite synthesis preferences, and discovering novel correlations between microbiome and metabolome in humans and environment. Overall, the iPhylo suite is distinguished by its unified and interactive framework for in-depth taxonomic and integrative analyses of biological and chemical features and beyond.
准确而快速的分类学分类对于系统地探索不同环境中的生物体和代谢物至关重要。已经开发了许多用于生物分类树的工具,但存在局限性,并且明显缺乏一种简化的构建化学分类树的方法。我们展示了iPhylo套件(https://www.iphylo.net/),这是一个用于生物和化学分类分析的全面、自动化且交互式的平台。iPhylo套件具有用于分类树交互式构建和注释的基于网络的模块,以及用于在本地操作或部署在高性能计算(HPC)集群上的独立命令行界面(CLI)。iPhylo支持用于生物分类的美国国立生物技术信息中心(NCBI)分类法以及用于化学分类的ChemOnt和NPClassifier。iPhylo可视化模块完全用R实现,允许用户在本地保存进度并自定义底层R代码。最后,CLI模块便于跨所有层次关系数据库进行分析。我们展示了iPhylo套件在可视化环境微生物群落、分析肠道微生物代谢物合成偏好以及发现人类和环境中微生物组与代谢组之间新关联方面的能力。总体而言,iPhylo套件的特点是其统一且交互式的框架,用于对生物和化学特征及其他方面进行深入的分类学和综合分析。