BrainTrawler is a task-driven, web-based framework that incorporates visual analytics methods to explore heterogeneous neurobiological data. It facilitates spatial indexing to query large-scale voxel-level connectivity data and gene expression collections in real-time. Relating data to the hierarchical structure of common anatomical atlases enables the retrieval on different anatomical levels. Together with intuitive network visualization, iterative visual queries and quantitative information this allows the genetic dissection of multimodal networks on local/global scales in a spatial context. For more information about the technical and visualization background of BrainTrawler see the following publications:Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak, and Katja Buehler. Braintrawler: A visual analytics framework for iterative exploration of heterogeneous big brain data. Computers & Graphics, 82:304 – 320, 2019
Florian Ganglberger, Joanna Kaczanowska, Wulf Haubensak, and Katja Bühler. A data structure for real-time aggregation queries of big brain networks. Neuroinformatics, pages 1–19, 2019
Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak, and Katja Bühler. Iterative exploration of big brain network data. In VCBM 18: Eurographics Workshop on Visual Computing for Biology and Medicine, Granada, Spain, September 20-21, 2018, pages 77–87, 2018
Florian Ganglberger, Markus Toepfer, Dominic Kargl, Julien Hernandez-Lallement, Nathan Lawless, Francesc Fernandez-Albert, Wulf Haubensak, Katja Bühler. BrainTACO: An Explorable Multi-Scale Multi-Modal Brain Transcriptomic And Connectivity Data Resource. Bioarchive, 2023
For enquiries, please contact: braintrawler@vrvis.atClick on the images below to get to the application for the respective reference brains:
BrainTrawler is a task-driven, web-based framework that incorporates visual analytics methods to explore heterogeneous neurobiological data. It facilitates spatial indexing to query large-scale voxel-level connectivity data and gene expression collections in real-time. Relating data to the hierarchical structure of common anatomical atlases enables the retrieval on different anatomical levels. Together with intuitive network visualization, iterative visual queries and quantitative information this allows the genetic dissection of multimodal networks on local/global scales in a spatial context. For more information about the technical and visualization background of BrainTrawler see the following publications:For enquiries, please contact: braintrawler@vrvis.at
