Katja Bühler

The paper presents a visual analytics tool for identifying target genes in spatial transcriptomics data by analyzing brain circuits.

BrainTACO provides a multi-scale, multi-modal brain data resource for exploring gene expression and connectivity, enabling analysis of genetic drivers of brain networks in mice and humans.

The paper introduces a data structure for real-time aggregation queries of big brain networks, enabling interactive analysis of multimodal neurobiological data across scales.

This paper uses evolutionary genomics and functional neuroanatomy to reconstruct neurogenetic evolution in the human brain and identify traits distinguishing modern humans from archaic hominins.

The paper develops an algorithm to predict functional neuroanatomical maps by integrating gene expression, connectivity data, and genetic metadata from mouse and human sources.