Tronko provides a scalable solution for accurate taxonomic assignment for large-scale metabarcoding datasets by overcoming the speed and memory limitations of previous phylogenetic placement methods.

Dropouts in single cell RNA sequencing data are associated with cell states and can affect gene signature scoring if methods do not account for them.

Improved chemical, molecular biology, and computational approaches establish an optimized method for accurate and precise quantification of tRNA expression, modifications, and aminoacylation.

A novel method for factorizing complex cellular trajectories into interpretable bifurcation processes enhances the understanding of cell fate determination through the identification of key biological determinants in scRNA-seq data.

A new technique called ‘siGOLD’ allows neural circuits to be mapped using a combination of antibody labeling and electron microscopy.

Peptidomics method development and analysis of qualitative differences of peptide patterns in human wound fluids provide potential biomarkers for wound healing and infection.

With the removal of confounding artifacts, ribosome profiling can yield insight into the mechanism of protein synthesis in bacteria at high resolution.

Delivery of auditory triggers as unique slow waves-targeting approach yields efficient, stable, and precise modulation of slow-wave activity in rats.

Methods for video analysis of behaving animals are described, with guidance provided on setting up the methods in a research laboratory and best practices for experimenters and developers.

A computational method for predicting evolutionary pathways to antimicrobial resistance, accounting for how epistatic interactions determine trajectories, is described.