A team of computational biologists has developed an algorithm that can ‘align’ multiple sequencing datasets with single-cell resolution. The new method, published today in the journal Nature Biotechnology, has implications for better understanding how different groups of cells change during disease progression, in response to drug treatment, or across evolution.