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Protocol for Identification and Removal of Doublets with DoubletDecon
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580240/ https://www.ncbi.nlm.nih.gov/pubmed/33111118 http://dx.doi.org/10.1016/j.xpro.2020.100085 |
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author | DePasquale, Erica A.K. Schnell, Daniel Chetal, Kashish Salomonis, Nathan |
author_facet | DePasquale, Erica A.K. Schnell, Daniel Chetal, Kashish Salomonis, Nathan |
author_sort | DePasquale, Erica A.K. |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7580240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75802402020-10-26 Protocol for Identification and Removal of Doublets with DoubletDecon DePasquale, Erica A.K. Schnell, Daniel Chetal, Kashish Salomonis, Nathan STAR Protoc Protocol 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). Elsevier 2020-08-11 /pmc/articles/PMC7580240/ /pubmed/33111118 http://dx.doi.org/10.1016/j.xpro.2020.100085 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol DePasquale, Erica A.K. Schnell, Daniel Chetal, Kashish Salomonis, Nathan Protocol for Identification and Removal of Doublets with DoubletDecon |
title | Protocol for Identification and Removal of Doublets with DoubletDecon |
title_full | Protocol for Identification and Removal of Doublets with DoubletDecon |
title_fullStr | Protocol for Identification and Removal of Doublets with DoubletDecon |
title_full_unstemmed | Protocol for Identification and Removal of Doublets with DoubletDecon |
title_short | Protocol for Identification and Removal of Doublets with DoubletDecon |
title_sort | protocol for identification and removal of doublets with doubletdecon |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580240/ https://www.ncbi.nlm.nih.gov/pubmed/33111118 http://dx.doi.org/10.1016/j.xpro.2020.100085 |
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