ArticleiScience2026
SportsXbiodata: A web platform for integrative analysis of exercise-induced gene and protein expression.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
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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, allowing users to directly download standardized datasets and analysis results, thereby promoting transparency and reproducibility in scientific research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.