Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Abstract Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-scale scRNA-seq, and thus singl...

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Bibliographic Details
Main Authors: Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, single-cell eQTLGen consortium, Davis J. McCarthy, Marc Jan Bonder
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Genome Biology
Online Access:https://doi.org/10.1186/s13059-021-02407-x