BrainTrawler Lite: Navigating through a multi-scale multi-modal gene transcriptomics data resource through a lightweight user interface
Bianca Burger, Tobias Peherstorfer, Sophia Ulonska, Florian Ganglberger, Domic Kargl, Simone Locato, Bader Al-Hamdan, Marvin Kleinlehner, Wulf Haubensak, Katja Bühler · FENS Forum 2024
Joint exploration of behavior, genes and brain structure holds the promise to provide a better understanding of neural circuits than unimodal data analyses. Several consortia provide extensive data resources of different modalities. However, analyses of heteromodal data require the expertise of computer scientists for fusing the different resources into a common space. To tackle this limitation, we extended BrainTrawler, our web-based visual analytics frame work for exploration of neurobiological data of human and mice, with a selection of publicly available gene expression and connectivity da