{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T23:06:52Z","timestamp":1773270412234,"version":"3.50.1"},"reference-count":61,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T00:00:00Z","timestamp":1539216000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007793","name":"Stiftelsen Kristian Gerhard Jebsen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007793","id-type":"DOI","asserted-by":"publisher"}]},{"name":"K.G. Jebsen Coeliac Disease Research Centre"},{"name":"Austrian Academy of Sciences New Frontiers Group Award"},{"DOI":"10.13039\/100010663","name":"ERC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Union\u2019s Horizon 2020","award":["679146"],"award-info":[{"award-number":["679146"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Many high-throughput methods produce sets of genomic regions as one of their main outputs. Scientists often use genomic colocalization analysis to interpret such region sets, for example to identify interesting enrichments and to understand the interplay between the underlying biological processes. Although widely used, there is little standardization in how these analyses are performed. Different practices can substantially affect the conclusions of colocalization analyses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Here, we describe the different approaches and provide recommendations for performing genomic colocalization analysis, while also discussing common methodological challenges that may influence the conclusions. As illustrated by concrete example cases, careful attention to analysis details is needed in order to meet these challenges and to obtain a robust and biologically meaningful interpretation of genomic region set data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty835","type":"journal-article","created":{"date-parts":[[2018,10,10]],"date-time":"2018-10-10T21:16:30Z","timestamp":1539206190000},"page":"1615-1624","source":"Crossref","is-referenced-by-count":58,"title":["Colocalization analyses of genomic elements: approaches, recommendations and challenges"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4783-9060","authenticated-orcid":false,"given":"Chakravarthi","family":"Kanduri","sequence":"first","affiliation":[{"name":"Department of Informatics, University of Oslo, Oslo, Norway"},{"name":"K. 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