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Quantitative proteomics reveals the diversity and heterogeneity of nuclear proteomes in mammalian organs and identifies the molecular features of ageing.

Single myofiber ATAC-Seq provides assessment of chromatin accessibility of a single myofiber without the confounding effects of other cell types present in skeletal muscle.

A machine learning model, TweetyNet, make it possible to scale up annotation of birdsong across individual birds, days of song, and species.

Ten-fold Robust Expansion Microscopy (TREx) is a new method for 10-fold physical expansion of specimens in one round of gel embedding, enabling nanoscale imaging of antibody stains and ultrastructural detail.

The in vitro and in vivo characterization of two nanobody/NanoTag pairs in the Drosophila system provides a variety of assays for protein detection and manipulation.

Development of imaging methods to capture neural activity and structure through the intact cuticle using 2-photon and 3-photon excitation in the genetic model organism, Drosophila melanogaster.

A novel dual genome approach that combines genetically diverse mice and a library of bacterial mutants to define the genome-wide host pathogen interactions that drive distinct outcomes to tuberculosis.

Systematic testing of experimental variables in a common neurobehavioral paradigm revealed that conditions that more closely match human physiology reliably elicit stress eating in mice.

Deep convolutional neural networks can generate virtual histology from magnetic resonance imaging (MRI) data to map cellular structures in the mouse brain with high specificity, which enables neurobiologists to use MRI to characterize neuropathology effectively.

This first comparison of different methodologies to estimate germline mutation rate from pedigrees resulted in almost a 2-fold variation in the estimated rates, discrepancies mainly caused by different filtering methods.