Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data

Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data

Abstract Background Systematic interrogation of single-nucleotide variants (SNVs) is one of the most promising approaches to delineate the cellular heterogeneity and phylogenetic relationships at the single-cell level. While SNV detection from abundant single-cell RNA sequencing (scRNA-seq) data is...

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Bibliographic Details
Main Authors: Fenglin Liu, Yuanyuan Zhang, Lei Zhang, Ziyi Li, Qiao Fang, Ranran Gao, Zemin Zhang
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Genome Biology
Subjects:
Single-nucleotide variant detection
Somatic mutations
Single-cell RNA sequencing
Benchmarking
Online Access:http://link.springer.com/article/10.1186/s13059-019-1863-4

Internet

http://link.springer.com/article/10.1186/s13059-019-1863-4

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