Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics

Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics

Abstract Background Quality control (QC) of cells, a critical first step in single-cell RNA sequencing data analysis, has largely relied on arbitrarily fixed data-agnostic thresholds applied to QC metrics such as gene complexity and fraction of reads mapping to mitochondrial genes. The few existing...

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Bibliographic Details
Main Authors: Ayshwarya Subramanian, Mikhail Alperovich, Yiming Yang, Bo Li
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Genome Biology
Subjects:
scRNA-seq
Quality control (QC)
Data-driven
Single cell
Adaptive QC
Exploratory data analysis (EDA)
Online Access:https://doi.org/10.1186/s13059-022-02820-w

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