Cooperativity between two transcription regulators occurs through protein-protein interactions with a general transcription factor complex and potentiates the parallel evolution of their DNA binding sites.

Cis-regulation such as enhancers and promoters plays a major role in parallel gene expression divergence and has features that make it a well-poised substrate for adaptive evolution.

Influenza evolution within infected hosts recapitulates many evolutionary dynamics observed at the global scale.

Genetic architecture governs the evolvability of adaptive paths providing a framework for evolutionary forecasting.

Automated whole-brain analysis of gene expression at cellular resolution detects previously overlooked phenotypes in mutants and reveals parallels between the forebrains of zebrafish and mammals.

Highly paralleled functional evaluation of enhancer activity in single cells generates new cell-type-specific tools with broad medical and scientific applications.

Each stage of the scientific life cycle stands to benefit from the introduction of data science techniques.