@article {2018|2088,
	title = {From Virtual Reality to Immersive Analytics in Bioinformatics.},
	journal = {J Integr Bioinform},
	volume = {15},
	year = {2018},
	month = {2018 Jul 09},
	abstract = {<p>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 \&quot;just\&quot; 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.</p>
},
	keywords = {Computer Graphics, Imaging, Three-Dimensional, Molecular Conformation, Proteins, Software, User-Computer Interface, Virtual Reality},
	issn = {1613-4516},
	doi = {10.1515/jib-2018-0043},
	author = {Sommer, Bj{\"o}rn and Marc Baaden and Krone, Michael and Woods, Andrew}
}
@article {2018|2089,
	title = {Semantics for an Integrative and Immersive Pipeline Combining Visualization and Analysis of Molecular Data.},
	journal = {J Integr Bioinform},
	volume = {15},
	year = {2018},
	month = {2018 Jul 09},
	abstract = {<p>The advances made in recent years in the field of structural biology significantly increased the throughput and complexity of data that scientists have to deal with. Combining and analyzing such heterogeneous amounts of data became a crucial time consumer in the daily tasks of scientists. However, only few efforts have been made to offer scientists an alternative to the standard compartmentalized tools they use to explore their data and that involve a regular back and forth between them. We propose here an integrated pipeline especially designed for immersive environments, promoting direct interactions on semantically linked 2D and 3D heterogeneous data, displayed in a common working space. The creation of a semantic definition describing the content and the context of a molecular scene leads to the creation of an intelligent system where data are (1) combined through pre-existing or inferred links present in our hierarchical definition of the concepts, (2) enriched with suitable and adaptive analyses proposed to the user with respect to the current task and (3) interactively presented in a unique working environment to be explored.</p>
},
	keywords = {Computer Graphics, Humans, Imaging, Three-Dimensional, Models, Structural, Semantics, Software, Statistics as Topic, User-Computer Interface},
	issn = {1613-4516},
	doi = {10.1515/jib-2018-0004},
	author = {Trellet, Mikael and Nicolas F{\'e}rey and Floty{\'n}ski, Jakub and Marc Baaden and Bourdot, Patrick}
}
