{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T17:49:42Z","timestamp":1760550582760,"version":"3.37.3"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"22","license":[{"start":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T00:00:00Z","timestamp":1529452800000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"JSPS","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"KAKENHI","doi-asserted-by":"crossref","award":["15H05911","16km0405206h0001","16gm6010001h0001","17ek0410041h0001"],"award-info":[{"award-number":["15H05911","16km0405206h0001","16gm6010001h0001","17ek0410041h0001"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Nakajima Foundation Fellowship"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Rapid advances in high-throughput sequencing technologies have enabled more efficient acquisition of massive amount of multi-omics data. However, interpretation of the underlying relationships across multi-omics networks has not been fully succeeded, partly due to the lack of effective methods in visualization. To aid interpretation of the results from such multi-omics data, we here present Grimon (Graphical interface to visualize multi-omics networks), an R package that visualizes high-dimensional multi-layered data sets in three-dimensional parallel coordinates. Grimon enables users to intuitively and interactively explore their analyzed data, helping their understanding of multiple inter-layer connections embedded in high-dimensional complex data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Grimon is freely available at https:\/\/github.com\/mkanai\/grimon as an R package with example omics data sets.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty488","type":"journal-article","created":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T12:31:29Z","timestamp":1528979489000},"page":"3934-3936","source":"Crossref","is-referenced-by-count":11,"title":["Grimon: graphical interface to visualize multi-omics networks"],"prefix":"10.1093","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5165-4408","authenticated-orcid":false,"given":"Masahiro","family":"Kanai","sequence":"first","affiliation":[{"name":"Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan"},{"name":"Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA"}]},{"given":"Yuichi","family":"Maeda","sequence":"additional","affiliation":[{"name":"Laboratory of Immune Regulation Graduate School of Medicine, Department of Microbiology and Immunology, WPI Immunology Frontier Research Center, Osaka University, Suita, Japan"},{"name":"Japan Agency for Medical Research and Development-Core Research for Evolutional Science and Technology, Tokyo, Japan"},{"name":"Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, WPI Immunology Frontier Research Center, Osaka University, Suita, Japan"}]},{"given":"Yukinori","family":"Okada","sequence":"additional","affiliation":[{"name":"Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan"},{"name":"Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan"}]}],"member":"286","published-online":{"date-parts":[[2018,6,19]]},"reference":[{"key":"2023012712334875600_bty488-B1","doi-asserted-by":"crossref","first-page":"1177","DOI":"10.1016\/j.cell.2017.05.038","article-title":"An expanded view of complex traits: from polygenic to omnigenic","volume":"169","author":"Boyle","year":"2017","journal-title":"Cell"},{"key":"2023012712334875600_bty488-B2","doi-asserted-by":"crossref","first-page":"1246949","DOI":"10.1126\/science.1246949","article-title":"Innate immune activity conditions the effect of regulatory variants upon monocyte gene expression","volume":"343","author":"Fairfax","year":"2014","journal-title":"Science"},{"key":"2023012712334875600_bty488-B3","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1038\/s41588-018-0047-6","article-title":"Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases","volume":"50","author":"Kanai","year":"2018","journal-title":"Nat. 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