Molecular Visualization of Computational Biology Data: A Survey of Surveys

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dc.contributor.authorAlharbi, Naifen_US
dc.contributor.authorAlharbi, Mohammaden_US
dc.contributor.authorMartinez, Xavieren_US
dc.contributor.authorKrone, Michaelen_US
dc.contributor.authorRose, Alexander S.en_US
dc.contributor.authorBaaden, Marcen_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.authorChavent, Matthieuen_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:20:09Z
dc.date.available2017-06-12T05:20:09Z
dc.date.issued2017
dc.description.abstractVisualizations for computational biology have been developing for over 50 years. With recent advances in both computational biology and computer graphics techniques, these fields have witnessed rapid technological advances in the last decade. Thus, coping with the large number of scientific articles from both fields is a challenging task. Furthermore, there remains a gap between the two communities of visualization and computational biology, resulting in additional challenges to bridge the divide. A team of computational biology and visualization scientists attempts to address these challenges by presenting unified state-of-the-art reviews from both communities. We apply a variety of data-driven analysis to highlight links or differences between studies from both communities. This approach facilitates the identification of present and future challenges in visualizing and analyzing computational biology data. It offers a distinctive step forward in managing the literature on visualization of molecular dynamics and related simulation approaches.en_US
dc.description.sectionheadersBiomedical and Biological Visualization
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20171146
dc.identifier.isbn978-3-03868-043-7
dc.identifier.pages133-137
dc.identifier.urihttp://dx.doi.org/10.2312/eurovisshort.20171146
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171146
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subject
dc.subject>Visualization
dc.subject
dc.subject>Visualization application domains! Scientific visualization
dc.titleMolecular Visualization of Computational Biology Data: A Survey of Surveysen_US
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