Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT.
dc.contributor.author | Hsu, Che-Wei | |
dc.contributor.author | Shahan, Rachel | |
dc.contributor.author | Nolan, Trevor M | |
dc.contributor.author | Benfey, Philip N | |
dc.contributor.author | Ohler, Uwe | |
dc.date.accessioned | 2023-02-04T20:56:00Z | |
dc.date.available | 2023-02-04T20:56:00Z | |
dc.date.issued | 2022-12 | |
dc.date.updated | 2023-02-04T20:55:51Z | |
dc.description.abstract | We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequencing (scRNA-seq) raw data using scKB and COPILOT. scKB is a wrapper script of kallisto and bustools for accelerated alignment and transcript count matrix generation, which runs significantly faster than the popular tool Cell Ranger. COPILOT then offers non-arbitrary background noise removal by comparing distributions of low-quality and high-quality cells. Together, this protocol streamlines the processing workflow and provides an easy entry for new scRNA-seq users. For complete details on the use and execution of this protocol, please refer to Shahan et al. (2022). | |
dc.identifier | S2666-1667(22)00609-8 | |
dc.identifier.issn | 2666-1667 | |
dc.identifier.issn | 2666-1667 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | STAR protocols | |
dc.relation.isversionof | 10.1016/j.xpro.2022.101729 | |
dc.subject | Sequence Analysis, RNA | |
dc.subject | Quality Control | |
dc.subject | Software | |
dc.subject | Single-Cell Analysis | |
dc.subject | Single-Cell Gene Expression Analysis | |
dc.title | Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT. | |
dc.type | Journal article | |
duke.contributor.orcid | Shahan, Rachel|0000-0001-7702-9432 | |
duke.contributor.orcid | Benfey, Philip N|0000-0001-5302-758X | |
pubs.begin-page | 101729 | |
pubs.issue | 4 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Trinity College of Arts & Sciences | |
pubs.organisational-group | Staff | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Cell Biology | |
pubs.organisational-group | Biology | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Initiatives | |
pubs.organisational-group | Duke Innovation & Entrepreneurship | |
pubs.organisational-group | Regeneration Next Initiative | |
pubs.publication-status | Published | |
pubs.volume | 3 |
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