{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T05:56:06Z","timestamp":1725429366981},"reference-count":31,"publisher":"Walter de Gruyter GmbH","issue":"2","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,6,26]]},"abstract":"Abstract<\/jats:title>\n Bioinformatics-related research produces huge heterogeneous amounts of data. This wealth of information includes data describing metabolic mechanisms and pathways, proteomics, transcriptomics, and metabolomics. Often, the visualization and exploration of related structural \u2013 usually molecular \u2013 data plays an important role in the aforementioned contexts. For decades, virtual reality (VR)-related technologies were developed and applied to Bioinformatics problems. Often, these approaches provide \u201cjust\u201d visual support of the analysis, e.g. in the case of exploring and interacting with a protein on a 3D monitor and compatible interaction hardware. Moreover, in the past these approaches were limited to cost-intensive professional visualization facilities. The advent of new affordable, and often mobile technologies, provides high potential for using similar approaches on a regular basis for daily research. Visual Analytics is successfully being used for several years to analyze complex and heterogeneous datasets. Immersive Analytics combines these approaches now with new immersive and interactive technologies. This publication provides a short overview of related technologies, their history and Bioinformatics-related approaches. Six new applications on the path from VR to Immersive Analytics are being introduced and discussed.<\/jats:p>","DOI":"10.1515\/jib-2018-0043","type":"journal-article","created":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T11:05:03Z","timestamp":1531393503000},"source":"Crossref","is-referenced-by-count":26,"title":["From Virtual Reality to Immersive Analytics in Bioinformatics"],"prefix":"10.1515","volume":"15","author":[{"given":"Bj\u00f6rn","family":"Sommer","sequence":"first","affiliation":[{"name":"Computational Life Sciences, Department of Computer and Information Science , University of Konstanz , Konstanz , Germany"},{"name":"Faculty of Information Technology , Monash University , Melbourne , Australia"}]},{"given":"Marc","family":"Baaden","sequence":"additional","affiliation":[{"name":"Laboratoire de Biochimie Th\u00e9orique, CNRS, UPR9080, Univ Paris Diderot, Sorbonne Paris Cit\u00e9, PSL Research University , IBPC, 13 rue Pierre et Marie Curie, 75005 , Paris , France"}]},{"given":"Michael","family":"Krone","sequence":"additional","affiliation":[{"name":"Big Data Visual Analytics , University T\u00fcbingen , T\u00fcbingen , Germany"}]},{"given":"Andrew","family":"Woods","sequence":"additional","affiliation":[{"name":"HIVE (Hub for Immersive Visualisation and eResearch) , Curtin University , Perth , Australia"}]}],"member":"374","published-online":{"date-parts":[[2018,7,9]]},"reference":[{"key":"2023033120302588742_j_jib-2018-0043_ref_001_w2aab3b7b7b1b6b1ab1b5b1Aa","unstructured":"Sutherland IE. 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