EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

Abstract Droplet-based single-cell RNA sequencing protocols have dramatically increased the throughput of single-cell transcriptomics studies. A key computational challenge when processing these data is to distinguish libraries for real cells from empty droplets. Here, we describe a new statistical...

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Bibliographic Details
Main Authors: Aaron T. L. Lun, Samantha Riesenfeld, Tallulah Andrews, The Phuong Dao, Tomas Gomes, participants in the 1st Human Cell Atlas Jamboree, John C. Marioni
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Genome Biology
Subjects:
Single-cell transcriptomics
Droplet-based protocols
Empty droplets
Cell detection
Online Access:http://link.springer.com/article/10.1186/s13059-019-1662-y

Internet

http://link.springer.com/article/10.1186/s13059-019-1662-y

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