Modular, efficient and constant-memory single-cell RNA-seq preprocessing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 33795888.
- Also identified by DOI 10.1038/s41587-021-00870-2.
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Abstract
We describe a workflow for preprocessing of single-cell RNA-sequencing data that balances efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is near optimal in speed with a constant memory requirement providing scalability for arbitrarily large datasets. The workflow is modular, and we demonstrate its flexibility by showing how it can be used for RNA velocity analyses.
Medical subject headings
- Sequence Analysis, RNA
- Single-Cell Analysis