Browse our Tools and Resources

Tronko provides a scalable solution for accurate taxonomic assignment for large-scale metabarcoding datasets by overcoming the speed and memory limitations of previous phylogenetic placement methods.

Proximity labeling combined with mass spectrometry enables to map the proteasome proximal proteome in cells and mouse tissues.

The generation of phosphoinositide 3,4,5-trisphosphate causes an increase in the number of TRPV1 ion channels and insulin receptors in the plasma membrane.

Oscillation component analysis enables cognitive neuroscientists to summarize millisecond-precision high-dimensional neurophysiological recordings into a smaller set of oscillatory components through biophysically inspired generative modeling of neural oscillations.

A new genetically encoded sensor robustly detects exogenously applied PAC1R ligands in vitro, ex vivo, and in vivo (in zebrafishes and mice) serving as a useful resource for probing PAC1R functions.

An array tomography and electron tomography hybrid approach based on coated plastic tape as support advances ultrastructural analysis of biological phenomena that require cell- and tissue-level contextualization of the finest subcellular textures.

MotorNet is a Python toolbox for training artificial neural networks to control arbitrarily complex, differentiable, and biomechanically realistic musculo-skeletal effectors on user-defined sensorimotor tasks.

Central SNS outflow sites originating from 87 brain nuclei and sub-nuclei in six brain divisions innervate bone.

Neurons can be tracked in mice implanted with Neuropixels 2.0 probes for up to 8 weeks using visual receptive fields to score tracking in the absence of reference data.

New open-source software enables, for the first time, extraction of quantitative information from brain dissection photographs that are routinely taken at brain banks for archiving purposes but otherwise not exploited.