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Doublet identification in single-cell sequencing data using scDblFinder version 2; peer review: 2 approved

by Macnair, Will , Germain, Pierre-Luc , Lun, Aaron , Garcia Meixide, Carlos , Robinson, Mark D.

in Datasets / doublets / eng / filtering / Libraries / Methods / multiplets / Neighborhoods / RNA / single-cell sequencing / Software / Software Tool

2021

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Doublet identification in single-cell sequencing data using scDblFinder version 2; peer review: 2 approved

by Macnair, Will , Germain, Pierre-Luc , Lun, Aaron , Garcia Meixide, Carlos , Robinson, Mark D.

in Datasets / doublets / eng / filtering / Libraries / Methods / multiplets / Neighborhoods / RNA / single-cell sequencing / Software / Software Tool

2021

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Doublet identification in single-cell sequencing data using scDblFinder version 2; peer review: 2 approved

by Macnair, Will , Germain, Pierre-Luc , Lun, Aaron , Garcia Meixide, Carlos , Robinson, Mark D.

in Datasets / doublets / eng / filtering / Libraries / Methods / multiplets / Neighborhoods / RNA / single-cell sequencing / Software / Software Tool

2021

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Journal Article

Doublet identification in single-cell sequencing data using scDblFinder version 2; peer review: 2 approved

Macnair, Will,

Germain, Pierre-Luc,

Lun, Aaron,

Garcia Meixide, Carlos,

Robinson, Mark D.

2021

Overview

Doublets are prevalent in single-cell sequencing data and can lead to artifactual findings. A number of strategies have therefore been proposed to detect them. Building on the strengths of existing approaches, we developed scDblFinder, a fast, flexible and accurate Bioconductor-based doublet detection method. Here we present the method, justify its design choices, demonstrate its performance on both single-cell RNA and accessibility (ATAC) sequencing data, and provide some observations on doublet formation, detection, and enrichment analysis. Even in complex datasets, scDblFinder can accurately identify most heterotypic doublets, and was already found by an independent benchmark to outcompete alternatives.

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Publisher

Faculty of 1000 Ltd,F1000 Research Limited,F1000 Research Ltd

Subject

/ eng

/ Methods