SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression
Zheng Li, Zhexue Xu, Xiaolin Li
TL;DR
SportsXbiodata is a free web platform that integrates multi-omics data and literature to study molecular changes caused by exercise.
Contribution
The novelty lies in compiling and integrating multi-omics datasets and exercise-related literature within a systems biology framework.
Findings
The platform includes 2,563 multi-omics datasets and 3,600 exercise-related publications.
It supports modules for gene/protein/metabolite profiling, immune infiltration, and phenotype-gene correlation analysis.
Users can freely access and download standardized datasets and analysis results.
Abstract
Exercise can induce extensive molecular adaptations across multiple tissues; however, existing databases primarily focus on transcriptomic data and lack the ability to integrate multi-omics evidence and literature within a systems biology framework. To address this limitation, we developed SportsXbiodata, an open-access multi-omics integration platform that compiles 2,563 public multi-omics datasets and 3,600 exercise-related publications. The platform provides comprehensive functional modules for gene/protein/metabolite expression profiling, immune infiltration analysis, phenotype-gene correlation analysis, knowledge graph analysis, literature-based gene exploration, and exercise-drug homology analysis. It also supports data querying, visualization, and user-defined enrichment analysis for exercise-related datasets. SportsXbiodata is completely free and accessible without registration,…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsGenetics and Physical Performance · Bioinformatics and Genomic Networks · Ferroptosis and cancer prognosis