Protocol for Identification and Removal of Doublets with DoubletDecon.

Autor:	DePasquale EAK; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH 45221, USA., Schnell D; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.; Heart Institute and Center for Translational Fibrosis Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA., Chetal K; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA., Salomonis N; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH 45221, USA.; Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221, USA.
Jazyk:	angličtina
Zdroj:	STAR protocols [STAR Protoc] 2020 Aug 11; Vol. 1 (2), pp. 100085. Date of Electronic Publication: 2020 Aug 11 (Print Publication: 2020).
DOI:	10.1016/j.xpro.2020.100085
Abstrakt:	Retention of multiplet captures in single-cell RNA sequencing (scRNA-seq) data can hinder identification of discrete or transitional cell populations and associated marker genes. To overcome this challenge, we created DoubletDecon to identify and remove doublets, multiplets of two cells, by using a combination of deconvolution to identify putative doublets and analyses of unique gene expression. Here, we provide the protocol for running DoubletDecon on scRNA-seq data. For complete details on the use and execution of this protocol, please refer to DePasquale et al. (2019). Competing Interests: The authors declare no competing interests. (© 2020 The Author(s).)
Databáze:	MEDLINE
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