ExpOmics: a comprehensive web platform empowering biologists with robust multi-omics data analysis capabilities
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Motivation
High-throughput technologies have yielded a broad spectrum of multi-omics datasets, offering unparalleled insights into complex biological systems. However, effectively analyzing this diverse array of data presents challenges, given factors such as species diversity, data types, costs, and limitations of available tools.
Results
We propose ExpOmics, a comprehensive web platform featuring seven applications and four toolkits with 28 customizable analysis functions, spanning various aspects of differential expression, co-expression, WGCNA analysis, feature selection, and functional enrichment analysis. ExpOmics empowers users to effortlessly upload and explore multi-omics data without organism restriction, supporting a wide array of data types including gene, mRNA, lncRNA, miRNA, circRNA, piRNA, and protein expression data. It is compatible with diverse gene nomenclatures and expression value types. Moreover, ExpOmics enables users to comprehensive analysis of 22,427 transcriptomic datasets sourced from 63 projects and 196 cancer subtypes in TCGA, discovering cancer biomarkers and targets. The analysis results from ExpOmics are visually presented in high-quality graphical formats suitable for publication, available for free download. In summary, ExpOmics can serves as a robust platform for global researchers to delve into diverse expression datasets, gain biological insights, and formulate testable hypotheses.
Availability and implementation
ExpOmics is available at http://www.biomedical-web.com/expomics .
