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VarXOmics: A Versatile Web Server for Genomic Data Querying, Analysis, and Variant Prioritization With Multi-omics Insights.

Journal of molecular biology 2026 p. 169667

Liao X, Song X, Green E, Zhang C, Türkez H, Mardinoglu A

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Numerous web-based tools have been developed to support large-scale genomics research, whereas challenges remain due to their limited functionality.

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BibTeX ↓ RIS ↓
APA Liao X, Song X, et al. (2026). VarXOmics: A Versatile Web Server for Genomic Data Querying, Analysis, and Variant Prioritization With Multi-omics Insights.. Journal of molecular biology, 169667. https://doi.org/10.1016/j.jmb.2026.169667
MLA Liao X, et al.. "VarXOmics: A Versatile Web Server for Genomic Data Querying, Analysis, and Variant Prioritization With Multi-omics Insights.." Journal of molecular biology, 2026, pp. 169667.
PMID 41621779

Abstract

Numerous web-based tools have been developed to support large-scale genomics research, whereas challenges remain due to their limited functionality. Therefore, we developed VarXOmics, an end-to-end, versatile web server for querying variants and genes, streamlining germline variant analysis, prioritizing variants with multi-omics insights, and providing interactive visualizations. The utility of VarXOmics was demonstrated by analyzing multiple small variants of the whole genome sequencing data from a breast cancer patient. It prioritized BRCA2 c.3751dup as the most likely pathogenic variant, and highlighted disease associations with cell cycle regulation, DNA repair pathways, and type 2 diabetes through multi-omics evidence, gene set enrichment, and network analysis. Overall, VarXOmics serves as a practical genomics platform for researchers and clinicians. It shows potential in identifying pathogenic variants and causal genes, uncovering the molecular mechanisms of disease pathogenesis, providing valuable references for clinical decision-making and therapeutic strategies, thus advancing precision medicine. VarXOmics is publicly available at https://www.phenomeportal.org/varxomics.

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