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Universal preprocessing of single-cell genomics data.


ABSTRACT: 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/.

SUBMITTER: Booeshaghi AS 

PROVIDER: S-EPMC10515959 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Universal preprocessing of single-cell genomics data.

Booeshaghi A Sina AS   Sullivan Delaney K DK   Pachter Lior L  

bioRxiv : the preprint server for biology 20230915


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

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