New traceability and reporting standards aim to improve transparency in stem cell research.

This Review discusses statistical and computational strategies for analyzing various spatial and temporal omics data types, with an emphasis on the common modeling principles.

Community-developed checklists offer best-practice guidance for biologists preparing light microscopy images and describing image analyses for publications.

Making biological research more sustainable requires an accurate assessment of its environmental impact, both at the bench and on the computer.

Few methods for three-dimensional structure modeling of nucleic acids from cryo-EM data exist. CryoREAD, a fully automated DNA/RNA atomic structure modeling method based on deep learning, was developed to fill this gap.

A comprehensive redevelopment of the ribosome profiling workflow involves improved nuclease treatment and sequencing library preparation, enabling richer and more accurate translatome profiling with lower input and fewer technical hurdles.

Single-cell Deep Visual Proteomics integrates imaging, cell segmentation, laser microdissection and multiplexed mass spectrometry for spatial single-cell proteomics measurements in complex tissues.

This analysis leverages experimentally sequenced data and in silico mixtures to simulate transcript expression differences, which enables a performance assessment of long-read tools developed for isoform detection, differential transcript expression analysis and differential transcript usage analysis.

An updated version of the Waxholm Space atlas of the rat brain includes more detailed annotations of several brain regions, including the cortex, striatopallidal region, midbrain and thalamus, expanding the previous version with 112 new and 57 revised structures.

CellOT combines the benefits of optimal transport and input convex neural architectures to directly learn and uncover maps between control and perturbed cell states at the single-cell level.

Spectral flow cytometry enables the simultaneous analysis of a large number of cell surface markers at the single-cell level

Science needs diversity, but barriers such as housing insecurity can hinder access to education and training. To lobby for change, students put their own experiences to work.

Making biological research more sustainable requires an accurate assessment of its environmental impact, both at the bench and on the computer.