{"doi":"10.1016/j.jmb.2024.168705","title":"XGRm: A Web Server for Interpreting Mouse Summary-level Genomic Data","abstract":null,"journal":"Journal of Molecular Biology","year":2024,"id":638072,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1657045,"name":"Chaohui Bao","orcid":null,"position":1,"is_corresponding":false},{"id":1108245,"name":"Siyue Yang","orcid":"0000-0002-0516-4624","position":2,"is_corresponding":false},{"id":1657047,"name":"Chenxu Gao","orcid":null,"position":3,"is_corresponding":false},{"id":175740,"name":"Chang Lu","orcid":"0000-0003-0181-5888","position":4,"is_corresponding":false},{"id":479170,"name":"Lulu Jiang","orcid":"0000-0002-6918-6777","position":5,"is_corresponding":false},{"id":245080,"name":"Liye Chen","orcid":"0000-0001-9224-5088","position":6,"is_corresponding":false},{"id":268819,"name":"Zheng Wang","orcid":"0000-0001-7138-8581","position":7,"is_corresponding":false},{"id":77630,"name":"Hai Fang","orcid":"0000-0003-3961-8572","position":8,"is_corresponding":false},{"id":398253,"name":"Shan Wang","orcid":"0000-0003-2177-5318","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"XGRm: A Web Server for Interpreting Mouse Summary-level Genomic Data","abstract":"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.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"39237194","pmcid":null,"openalex_id":"https://openalex.org/W4400625073","authors":[],"funders":[{"funder_name":"National Key Research and Development Program of China","grant_id":"2022YFA1103300","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"32170663","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"82300263","title":null},{"funder_name":"Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning","grant_id":"","title":null}],"total_grants":4,"fwci":0.3211,"citation_percentile":0.55124923,"influential_citations":0,"citation_trend":[{"year":2024,"count":1},{"year":2026,"count":1}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-004","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S0022283624003140?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0022283624003140?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.jmb.2024.168705","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/39237194","host_type":"repository"}],"fields_of_study":["Bioinformatics and Genomic Networks","Gene expression and cancer classification","Biomedical Text Mining and Ontologies","Animals","Mice","Genomics","Software","Internet","Gene Regulatory Networks","Computational Biology","Algorithms","Genome"],"mesh_terms":["Algorithms","Animals","Software","Genome","Computational Biology","Internet","Genomics","Mice","Gene Regulatory Networks"],"keywords":["Subnetwork","Computer science","Computational biology","Ontology","Gene ontology","Gene","Biology","Web server","Genetics","World Wide Web","The Internet","Computer network","Mouse","Model organism","Enrichment Analysis","Genomic Data","Subnetwork Analysis"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T20:03:49.556574Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}