A method for improved single-cell RNA sequencing (scRNA-seq) data preprocessing is presented in Nature Biotechnology this week. Preprocessing — the quantification of transcript or gene abundances in individual cells from a scRNA-seq experiment — is hampered by challenges such as the memory requirements for handling increasingly large volumes of data.