Universal preprocessing of single-cell genomics data.
Ali Sina BooeshaghiDelaney K SullivanLior PachterPublished in: bioRxiv : the preprint server for biology (2023)
We describe a workflow for preprocessing a wide variety of single-cell genomics data types. The approach is based on parsing of machine-readable seqspec assay specifications to customize inputs for kb-python , which uses kallisto and bustools to catalog reads, error correct barcodes, and count reads. The universal preprocessing method is implemented in the Python package cellatlas that is available for download at: https://github.com/cellatlas/cellatlas/ .