Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods

Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leveraging their...

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Bibliographic Details
Main Authors: Neavin, Drew, Senabouth, Anne, Arora, Himanshi, Lee, Jimmy Tsz Hang, Ripoll-Cladellas, Aida, Franke, Lude, Prabhakar, Shyam, Ye, Jimmie Chun, McCarthy, Davis J., Melé, Marta, Hemberg, Martin, Powell, Joseph E.
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/179610
Description
Summary:Recent innovations in single-cell RNA-sequencing (scRNA-seq) provide the technology to investigate biological questions at cellular resolution. Pooling cells from multiple individuals has become a common strategy, and droplets can subsequently be assigned to a specific individual by leveraging their inherent genetic differences. An implicit challenge with scRNA-seq is the occurrence of doublets—droplets containing two or more cells. We develop Demuxafy, a framework to enhance donor assignment and doublet removal through the consensus intersection of multiple demultiplexing and doublet detecting methods. Demuxafy significantly improves droplet assignment by separating singlets from doublets and classifying the correct individual.