We introduce XGR-model (or XGRm), a web server made accessible at http://www.xgrm.pro, with the aim of meeting the increasing demand for effectively interpreting summary-level genomic data in model organisms. Currently, it hosts two enrichment analysers and two subnetwork analysers to support enrichment and subnetwork analyses for user-input mouse genomic data, whether gene-centric or genomic region-centric. The enrichment analysers identify ontology term enrichments for input genes (GElyser) or for genes linked from input genomic regions (RElyser). The subnetwork analysers rely on our previously established network algorithm to identify gene subnetworks from input gene-centric summary data (GSlyser) or from input region-centric summary data (RSlyser), leveraging network information about either functional interactions or pathway-derived interactions. Collectively, XGRm offers an all-in-one solution for gaining systems biology insights into summary-level genomic data in mice, underpinned by our commitment to regular updates as well as natural extensions to other model organisms.
XGRm: A Web Server for Interpreting Mouse Summary-level Genomic Data.
Shan Wang,Chaohui Bao,Siyue Yang,Chenxu Gao,Chang Lu,Lulu Jiang,Liye Chen,Zheng Wang,Hai Fang
Published 2024 in Journal of Molecular Biology
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- Publication year
2024
- Venue
Journal of Molecular Biology
- Publication date
2024-07-01
- Fields of study
Biology, Medicine, Computer Science
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Semantic Scholar, PubMed
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