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From Virtual Reality to Immersive Analytics in Bioinformatics
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167045/ https://www.ncbi.nlm.nih.gov/pubmed/29982237 http://dx.doi.org/10.1515/jib-2018-0043 |
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author | Sommer, Björn Baaden, Marc Krone, Michael Woods, Andrew |
author_facet | Sommer, Björn Baaden, Marc Krone, Michael Woods, Andrew |
author_sort | Sommer, Björn |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6167045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-61670452019-01-28 From Virtual Reality to Immersive Analytics in Bioinformatics Sommer, Björn Baaden, Marc Krone, Michael Woods, Andrew J Integr Bioinform Editorial 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. De Gruyter 2018-07-09 /pmc/articles/PMC6167045/ /pubmed/29982237 http://dx.doi.org/10.1515/jib-2018-0043 Text en ©2018, Björn Sommer et al., published by De Gruyter, Berlin/Boston http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. |
spellingShingle | Editorial Sommer, Björn Baaden, Marc Krone, Michael Woods, Andrew From Virtual Reality to Immersive Analytics in Bioinformatics |
title | From Virtual Reality to Immersive Analytics in Bioinformatics |
title_full | From Virtual Reality to Immersive Analytics in Bioinformatics |
title_fullStr | From Virtual Reality to Immersive Analytics in Bioinformatics |
title_full_unstemmed | From Virtual Reality to Immersive Analytics in Bioinformatics |
title_short | From Virtual Reality to Immersive Analytics in Bioinformatics |
title_sort | from virtual reality to immersive analytics in bioinformatics |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167045/ https://www.ncbi.nlm.nih.gov/pubmed/29982237 http://dx.doi.org/10.1515/jib-2018-0043 |
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