Browse our Tools and Resources

FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

A single protein catalyzes site-specific DNA recombination upon blue-light illumination.

A computational tool developed to construct three-dimensional anatomical atlases from two-dimensional data generates volumetrically complete and aligned atlases for all stages of development in the Allen Developing Mouse Brain Atlas.

The response from discrete stages of the early auditory pathway can be measured by subtle manipulations to long-form natural speech stimuli paired with deconvolution analysis of electroencephalography data.

Detection of translated lncRNAs through selective isolation of active ribosomes, ribosome-associated RNAs and corresponding de novo synthesised peptides.

Base editors, with improved specificity and expanded PAM sequence recognition, can be used in zebrafish for the rapid and efficient introduction of single base pair mutations.

shinyDepMap helps users explore the essentiality, selectivity, and function of the genes across hundreds of cancer cell lines and identify cancer drug targets.

Combining global and local force measurements of reconstituted muscle tissue using a new chamber system that is compatible with high-resolution microscopy shows mechanical homeostasis already within a week.

The distinct protein-RNA interactomes of HIV-1 RNA splice forms are revealed using a powerful multiplex strategy for RNA capture and mass spectrometric analysis.