Surprising connections between gene architecture and splicing kinetics are illuminated using short, progressive metabolic labeling/RNA sequencing and novel computational modeling approaches in Drosophila cells.

A smart combination of machine learning and high-throughput data generation of bacterial population dynamics successfully leads to an intriguing finding of the differentiation in decision-making components for bacterial growth.

A method to profile hair pigmentation patterns establishes a new approach for psychobiological studies and links metabolic changes to greying in humans.

The absolute affinities of thousands of variant antibodies are measured in parallel using a combination of cell sorting and high-throughput DNA sequencing.

A combination of massively parallel reporter assays and mass spectrometry uncovers the regulation of previously unexplored promoters across the Escherichia coli genome.

Single-cell data analysis must be guided by an underlying model.