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To address this challenge, we have developed efficient and effective approaches and tools. Extending our previously established software tools, we here introduce OpenXGR (http:\/\/www.openxgr.com), a newly designed web server that offers almost real-time enrichment and subnetwork analyses for a user-input list of genes, SNPs\u00a0or genomic regions. It achieves so through leveraging ontologies, networks, and functional genomic datasets (such as promoter capture Hi-C, e\/pQTL\u00a0and enhancer-gene maps for linking SNPs or genomic regions to candidate genes). Six analysers are provided, each doing specific interpretations tailored to genomic summary data at various levels. Three enrichment analysers are designed to identify ontology terms enriched for input genes, as well as genes linked from input SNPs or genomic regions. Three subnetwork analysers allow users to identify gene subnetworks from input gene-, SNP-\u00a0or genomic region-level summary data. With a step-by-step user manual, OpenXGR provides a user-friendly and all-in-one platform for interpreting summary data on the human genome, enabling more integrated and effective knowledge discovery.<\/jats:p>","DOI":"10.1093\/nar\/gkad357","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T19:41:12Z","timestamp":1683747672000},"page":"W387-W396","source":"Crossref","is-referenced-by-count":21,"title":["OpenXGR: a web-server update for genomic summary data interpretation"],"prefix":"10.1093","volume":"51","author":[{"given":"Chaohui","family":"Bao","sequence":"first","affiliation":[{"name":"Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lulu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Translational Health Sciences, University of Bristol , Bristol BS1 3NY , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongcheng","family":"Fang","sequence":"additional","affiliation":[{"name":"Bioinformatics Department, School of Life Sciences and Technology, Tongji University , Shanghai 200092 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexin","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Life Sciences, Central South University , Hunan 410083 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Lin","sequence":"additional","affiliation":[{"name":"High Performance Computing Center, Shanghai Jiao Tong University , Shanghai 200240 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saijuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3961-8572","authenticated-orcid":false,"given":"Hai","family":"Fang","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,5,9]]},"reference":[{"key":"2023070505031153700_B1","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1186\/s13073-016-0384-y","article-title":"XGR software for enhanced interpretation of genomic summary data, illustrated by application to immunological traits","volume":"8","author":"Fang","year":"2016","journal-title":"Genome Med."},{"key":"2023070505031153700_B2","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1038\/s41576-019-0150-2","article-title":"RNA sequencing: the teenage years","volume":"20","author":"Stark","year":"2019","journal-title":"Nat. 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