Browse our Tools and Resources

A novel human iPSC-derived model induces mislocalization of endogenous TDP-43 without mutations or stress, recapitulating key ALS features including deficits in neuronal loss and morphology, splicing errors, and microRNA dysregulation.

Social status of mice in an established colony is stably expressed in several types of competition paradigms, including food and space competitions.

A comprehensive resource describes protein abundance and phosphorylation dynamics during Xenopus oocyte maturation, serving as an essential tool for investigating the molecular mechanisms driving meiotic progression.

A Python-based, open source, GUI application for straightforward development and execution of scientific experiments over multiple machines.

A robust method to infer excitatory and inhibitory synaptic conductances from neuronal recordings reveals functional circuit organization in rhythmic networks.

Self-supervised deep learning models can accurately perform 3D segmentation of cell nuclei in complex biological tissues, enabling scalable analysis in settings with limited or no ground truth annotations.

SCellBOW is a language model-based scRNA-seq analysis method that identifies malignant cell subpopulations and infers marker-free survival risks using transfer learning.

The development of an automated micronucleus segmentation program enables population-level comparisons between cells with and without micronuclei and defines a highly limited response to micronucleus formation or rupture.

AACDB provides a comprehensive, manually curated antigen-antibody interface dataset with rich metadata, interaction annotations, and therapeutic target annotations to advance antibody drug development.

MorphoCellSorter is a versatile, user-friendly tool that automates microglial morphology ranking, enabling standardized, reproducible analysis across diverse models, imaging techniques, and conditions using principal component analysis and Andrews plots.