Browse our Tools and Resources

Analysis methods for video data of rodents engaged in string-pulling behavior have been developed and used to highlight differences in motion profiles of Swiss Webster and C57Bl/6 mice.

Trafficking of optogenetic tools to primary cilia using nanobodies allows to study cAMP signaling with spatial and temporal resolution independent of the cell body.

The structure of the chromatin remodeller CHD4 bound to a nucleosome reveals differences to the known Chd1-nucleosome complex and maps cancer mutations.

A new methodology and protocol use automated brain imaging and task training technology to probe links between behavior and mouse cortical circuits.

Neural networks allow fast and accurate prediction of individual spatial locations from genotypes or sequencing data.

Tissue infection by an extracellular pathogen is recapitulated by encasing a bacterial colony within a droplet gel to allow immune cell attack, driving spatially-controlled microbial social behavior.

Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

AirID provides highly interaction-dependent biotinylation for analysis of protein–protein interaction.

An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.

A robust fluorescence microscopy-based data acquisition and analysis framework affords the precise measurement of cell surface receptor affinities toward their cognate ligands and their densities in live cells/tissues.