Universal preprocessing of single-cell genomics data.

We describe a workflow for preprocessing a wide variety of single-cell genomics data types. The approach is based on parsing of machine-readable assay specifications to customize inputs for , which uses and to catalog reads, error correct barcodes, and count reads. The universal preprocessing method is implemented in the Python package that is available for download at: https://github.com/cellatlas/cellatlas/ .