Intuitive access to spatially linked brain activity and transcriptomic data using BrainTrawler
Tobias Peherstorfer, Bianca Burger, Sophia Ulonska, Florian Ganglberger, Dominic Kargl, Julien Hernandez-Lallement, Simone Lucato, Bader Al-Hamdan, Marvin Kleinlehner, Wulf Haubensak, Katja Bühler · FENS Forum 2024
Investigations of transcriptomic and neuroimaging data imply that the spatial patterning of the brain transcriptome follows broad spatial trends in the brain network architecture, which can be used to study the molecular mechanisms of functional connectivity. However, the sophisticated pre-processing and data fusion workflows involved in heteromodal data analysis often require the expertise of computer scientists. There is a need for tools that facilitate this process to enable research without the need for extensive programming knowledge. To address this problem, we present an extension to ou