{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T19:44:08Z","timestamp":1768592648097,"version":"3.49.0"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T00:00:00Z","timestamp":1667952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100009619","name":"AMED","doi-asserted-by":"publisher","award":["JP187am0101067"],"award-info":[{"award-number":["JP187am0101067"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009619","name":"AMED","doi-asserted-by":"publisher","award":["22ama121019j0001"],"award-info":[{"award-number":["22ama121019j0001"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Gene coexpression is synchronization of gene expression across many cellular and environmental conditions and is widely used to infer the biological function of genes. Gene coexpression information is complex, comprising a complete graph of all genes in the genome, and requires appropriate visualization and analysis tools. Since its initial release in 2007, the animal gene expression database COXPRESdb (https:\/\/coxpresdb.jp) has been continuously improved by adding new gene coexpression data and analysis tools. Here, we report COXPRESdb version 8, which has been enhanced with new features for an overview, summary, and individual examination of coexpression relationships: CoexMap to display coexpression on a genome scale, pathway enrichment analysis to summarize the function of coexpressed genes, and CoexPub to bridges coexpression and existing knowledge. COXPRESdb also facilitates downstream analyses such as interspecies comparisons by integrating RNAseq and microarray coexpression data in a union-type gene coexpression. COXPRESdb strongly support users with the new coexpression data and enhanced functionality.<\/jats:p>","DOI":"10.1093\/nar\/gkac983","type":"journal-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T16:39:57Z","timestamp":1668011997000},"page":"D80-D87","source":"Crossref","is-referenced-by-count":34,"title":["COXPRESdb v8: an animal gene coexpression database navigating from a global view to detailed investigations"],"prefix":"10.1093","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3106-722X","authenticated-orcid":false,"given":"Takeshi","family":"Obayashi","sequence":"first","affiliation":[{"name":"Graduate School of Information Sciences, Tohoku University , 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai , 980-8679 , Japan"}]},{"given":"Shun","family":"Kodate","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University , Sendai ,\u00a0 980-8573 , Japan"}]},{"given":"Himiko","family":"Hibara","sequence":"additional","affiliation":[{"name":"Graduate School of Information Sciences, Tohoku University , 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai , 980-8679 , Japan"}]},{"given":"Yuki","family":"Kagaya","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, Purdue University , West Lafayette , IN\u00a0 47907 , USA"}]},{"given":"Kengo","family":"Kinoshita","sequence":"additional","affiliation":[{"name":"Graduate School of Information Sciences, Tohoku University , 6-3-09, Aramaki-Aza-Aoba, Aoba-ku, Sendai , 980-8679 , Japan"},{"name":"Tohoku Medical Megabank Organization, Tohoku University , Sendai ,\u00a0 980-8573 , Japan"},{"name":"Institute of Development, Aging, and Cancer, Tohoku University , Sendai ,\u00a0 980-8575 , Japan"}]}],"member":"286","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"2023010804242467400_B1","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1093\/pcp\/pcm013","article-title":"Approaches for extracting practical information from gene co-expression networks in plant biology","volume":"48","author":"Aoki","year":"2007","journal-title":"Plant Cell Physiol."},{"key":"2023010804242467400_B2","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.1111\/j.1365-3040.2009.02040.x","article-title":"Co-expression tools for plant biology: opportunities for hypothesis generation and caveats","volume":"32","author":"Usadel","year":"2009","journal-title":"Plant Cell Environ."},{"key":"2023010804242467400_B3","first-page":"575","article-title":"Gene co-expression analysis for functional classification and gene-disease predictions","volume":"19","author":"van\u00a0Dam.S.","year":"2018","journal-title":"Brief. 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