A long-standing goal of the Xia Lab has been to make omics data analytics accessible to researchers regardless of their computational background. Over the past decade, we have developed a suite of open-access, web-based platforms that are now used by over one million researchers worldwide. This textbook extends that effort from software to education, providing a structured, self-contained reference that covers the concepts, statistical methods, and practical workflows underlying modern omics data analysis.

The book covers the full analytical pipeline for transcriptomics, proteomics, metabolomics, and microbiomics — from raw data processing and normalization through statistical testing, network analysis, and multi-omics integration. Each chapter pairs methodological foundations with step-by-step workflows using the XiaLab tool ecosystem (MetaboAnalyst, ExpressAnalyst, MicrobiomeAnalyst, ProteoAnalyst, NetworkAnalyst, OmicsNet, and OmicsAnalyst), allowing readers to apply concepts directly to real datasets.

A free preview containing selected chapters is available below. Access to the full textbook is provided through our Omics Data Science Training program.