{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T05:51:36Z","timestamp":1782539496718,"version":"3.54.5"},"reference-count":45,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T00:00:00Z","timestamp":1573171200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["MOST 106-2221-E-039-011-MY3"],"award-info":[{"award-number":["MOST 106-2221-E-039-011-MY3"]}],"id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["MOST 108-2314-B-039-060"],"award-info":[{"award-number":["MOST 108-2314-B-039-060"]}],"id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["MOST 108-2622-E-039-005-CC2"],"award-info":[{"award-number":["MOST 108-2622-E-039-005-CC2"]}],"id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007300","name":"China Medical University","doi-asserted-by":"publisher","award":["CMU108-MF-93"],"award-info":[{"award-number":["CMU108-MF-93"]}],"id":[{"id":"10.13039\/501100007300","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>An integrative multi-omics database is needed urgently, because focusing only on analysis of one-dimensional data falls far short of providing an understanding of cancer. Previously, we presented DriverDB, a cancer driver gene database that applies published bioinformatics algorithms to identify driver genes\/mutations. The updated DriverDBv3 database (http:\/\/ngs.ym.edu.tw\/driverdb) is designed to interpret cancer omics\u2019 sophisticated information with concise data visualization. To offer diverse insights into molecular dysregulation\/dysfunction events, we incorporated computational tools to define CNV and methylation drivers. Further, four new features, CNV, Methylation, Survival, and miRNA, allow users to explore the relations from two perspectives in the \u2018Cancer\u2019 and \u2018Gene\u2019 sections. The \u2018Survival\u2019 panel offers not only significant survival genes, but gene pairs synergistic effects determine. A fresh function, \u2018Survival Analysis\u2019 in \u2018Customized-analysis,\u2019 allows users to investigate the co-occurring events in user-defined gene(s) by mutation status or by expression in a specific patient group. Moreover, we redesigned the web interface and provided interactive figures to interpret cancer omics\u2019 sophisticated information, and also constructed a Summary panel in the \u2018Cancer\u2019 and \u2018Gene\u2019 sections to visualize the features on multi-omics levels concisely. DriverDBv3 seeks to improve the study of integrative cancer omics data by identifying driver genes and contributes to cancer biology.<\/jats:p>","DOI":"10.1093\/nar\/gkz964","type":"journal-article","created":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T12:14:28Z","timestamp":1573042468000},"source":"Crossref","is-referenced-by-count":57,"title":["DriverDBv3: a multi-omics database for cancer driver gene research"],"prefix":"10.1093","author":[{"given":"Shu-Hsuan","family":"Liu","sequence":"first","affiliation":[{"name":"Graduate Institute of Biomedical Science, China Medical University, Taichung\u00a040403, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei-Chun","family":"Shen","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Science, China Medical University, Taichung\u00a040403, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"Cytoaurora Biotechnologies, Inc. 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