Scientists can choose between multiple human genome references, and a pangenome reference is coming. Deciding what to use when is not quite straightforward.

Giotto Suite provides a comprehensive, flexible and scalable platform for technology-agnostic spatial omics analysis using R.

Tilt-corrected bright-field scanning transmission electron microscopy offers enhanced cryogenic electron microscopy contrast and substantial improvement in dose efficiency for thick samples such as bacterial cells and large organelles, while still being able to perform single-particle analysis.

CELLECT learns contrastive embeddings to enable high-fidelity cell tracking.

gReLU advances deep-learning-based modeling and analysis of DNA sequences with comprehensive toolsets and versatile applications.

This Registered Report compares computational methods for single-cell multimodal omics integration and provides recommendations for different tasks and scenarios.

MrVI, based on deep generative modelling, is a unified framework for integrative, exploratory and comparative analyses of large-scale (multi-sample) single-cell RNA-seq datasets.

Nimbus, a deep learning model, uses a large multiplexed imaging dataset to predict the likelihood of marker positivity in single cells.

OrganoidTracker 2.0 enables fast and accurate cell tracking in complex systems such as developing organoids. A key aspect of the work is determining cell tracks with error probabilities for any tracking feature, from cell cycles to lineage trees.

AI-designed binders can enhance prime editing performance by inhibiting the DNA mismatch repair pathway.

Team news, editorial projects and initiatives, plus a preview of what’s to come in 2026.