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Quantitative Aspects of Immersive Analytics for the Life Sciences (D04)

Subject Area Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Bioinformatics and Theoretical Biology
Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
Term since 2017
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 251654672
 
We will investigate fundamental aspects of immersive analytics (IA) and develop IA applications for the life sciences. Fundamental research focuses on variations of the level of immersion during data analysis, IA applications are metabolic network models, spatially resolved transcriptomics data, and brain structure data. Finally, we will evaluate the use and benefits of IA for entire domain-specific workflows and compile guidelines for the development of IA applications in the life sciences.
DFG Programme CRC/Transregios
Applicant Institution Universität Stuttgart
 
 

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