From Virtual Reality to Immersive Analytics in Bioinformatics

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SOMMER, Björn, Marc BAADEN, Michael KRONE, Andrew WOODS, 2018. From Virtual Reality to Immersive Analytics in Bioinformatics. In: Journal of integrative bioinformatics. 15(2), 20180043. eISSN 1613-4516. Available under: doi: 10.1515/jib-2018-0043

@article{Sommer2018-07-09Virtu-44587, title={From Virtual Reality to Immersive Analytics in Bioinformatics}, year={2018}, doi={10.1515/jib-2018-0043}, number={2}, volume={15}, journal={Journal of integrative bioinformatics}, author={Sommer, Björn and Baaden, Marc and Krone, Michael and Woods, Andrew}, note={Article Number: 20180043} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/44587"> <dc:creator>Baaden, Marc</dc:creator> <dc:rights>terms-of-use</dc:rights> <dc:creator>Krone, Michael</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-01-16T10:52:34Z</dc:date> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/44587/3/Sommer_2-r9qr3r0k0eg95.pdf"/> <dc:contributor>Krone, Michael</dc:contributor> <dc:creator>Woods, Andrew</dc:creator> <dcterms:abstract xml:lang="eng">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 - usually molecular - 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 "just" 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.</dcterms:abstract> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/44587"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/44587/3/Sommer_2-r9qr3r0k0eg95.pdf"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-01-16T10:52:34Z</dcterms:available> <dc:contributor>Woods, Andrew</dc:contributor> <dc:contributor>Sommer, Björn</dc:contributor> <dcterms:title>From Virtual Reality to Immersive Analytics in Bioinformatics</dcterms:title> <dc:creator>Sommer, Björn</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:issued>2018-07-09</dcterms:issued> <dc:language>eng</dc:language> <dcterms:rights rdf:resource="https://kops.uni-konstanz.de/page/termsofuse"/> <dc:contributor>Baaden, Marc</dc:contributor> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 16.01.2019 (Informationen über die Zugriffsstatistik)

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