Browse our Tools and Resources

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

Bayesian hierarchical models offer powerful statistical tools for neuroscientists to analyze whole-brain cell count data, as demonstrated here using two example datasets from different laboratories.

Enabling high-throughput simulations of proteins within the Martini framework.

An open-source deep learning toolkit performs accurate annotation and similarity scoring of zebra finch song, along with comprehensive feature extraction, enabling consistent, interpretable comparisons of vocal phenotypes across research groups.

OpenSpliceAI is an open, retrainable framework for splice site prediction that enables rapid, memory-efficient, cross-species analyses at scale with accuracy comparable to SpliceAI.

Designer Receptors Exclusively Activated by Designer Drug (DREADD) expression in macaque brains peaks around 2 months after adeno-associated virus injection and remains stable for over a year before gradually declining.

NeuroSC provides an open-source framework for comparative connectomics, integrating neuronal morphologies, contacts, and synapses across developmental stages and datasets.

Development of robotic device for pain and somatosensory assays in rodents allows remote, quantitative, and reproducible delivery of mechanical stimuli.

BEHAV3D Tumor Profiler enables researchers without computational expertise to uncover heterogeneous cell behaviors and explore their relationships with microenvironmental features in intravital microscopy data.

Comparative structural genomics identifies unique effector architectures and ankyrin-mediated host targeting, revealing central and conserved strategies that underpin the pathogenicity of diverse gall-forming microbial species across evolutionary lineages.