高通量技术产生了广泛的多组学数据集，为复杂的生物系统提供了无与伦比的见解。然而，考虑到物种多样性、数据类型、成本和可用工具的局限性等因素，有效分析这些多样化的数据面临着挑战。在此，我们推出了 ExpOmics，这是一个综合性网络平台，具有 7 个应用程序和 4 个工具包，其中包含 28 个应用程序。可定制的分析功能涵盖差异表达、共表达、加权基因共表达网络分析 (WGCNA)、特征选择和功能富集的各种分析。 ExpOmics允许用户上传和探索不受生物体限制的多组学数据，支持各种表达数据，包括基因、mRNA、lncRNA、miRNA、circRNA、piRNA和蛋白质，并兼容多种基因命名法和表达值。此外，ExpOmics 使用户能够分析来自癌症基因组图谱计划 (TCGA) 63 个项目的 196 种癌症亚型的 22,427 个转录组数据集，以识别癌症生物标志物。 ExpOmics 的分析结果以适合出版的高质量图形格式呈现，并且可以免费下载。使用 ExpOmics 进行的案例研究发现了两种潜在的致癌基因：SERPINE1 和 SLC43A1，它们可能通过不同的生物过程调节结直肠癌。总之，ExpOmics 可以作为全球研究人员探索多组学数据、获得生物学见解并制定可检验假设的强大平台。ExpOmics 的网址为：http://www.biomedical-web.com/expomics.zhangwl25@mail3 .sysu.edu.cn。补充数据可在生物信息学在线获取。© 作者 2024。牛津大学出版社出版。

High-throughput technologies yield a broad spectrum of multi-omics datasets, which offer unparalleled insights into complex biological systems. However, effectively analyzing this diverse array of data presents challenges, considering factors such as species diversity, data types, costs, and limitations of the available tools.Herein, we present ExpOmics, a comprehensive web platform featuring seven applications and four toolkits, with 28 customizable analysis functions spanning various analyses of differential expression, co-expression, Weighted Gene Co-expression Network Analysis (WGCNA), feature selection, and functional enrichment. ExpOmics allows users to upload and explore multi-omics data without organism restrictions, supporting various expression data, including genes, mRNAs, lncRNAs, miRNAs, circRNAs, piRNAs, and proteins and is compatible with diverse gene nomenclatures and expression values. Moreover, ExpOmics enables users to analyze 22,427 transcriptomic datasets of 196 cancer subtypes sourced from 63 projects of The Cancer Genome Atlas Program (TCGA) to identify cancer biomarkers. The analysis results from ExpOmics are presented in high-quality graphical formats suitable for publication and are available for free download. A case study using ExpOmics identified two potential oncogenes, SERPINE1 and SLC43A1, that may regulate colorectal cancer through distinct biological processes. In summary, ExpOmics can serves as a robust platform for global researchers to explore multi-omics data, gain biological insights, and formulate testable hypotheses.ExpOmics is available at http://www.biomedical-web.com/expomics.zhangwl25@mail3.sysu.edu.cn.Supplementary data are available at Bioinformatics online.© The Author(s) 2024. Published by Oxford University Press.