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

https://hdl.handle.net/10161/26565

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

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Quality Control

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Software

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Single-Cell Analysis

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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

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Trinity College of Arts & Sciences

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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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