Assessment of Single Cell RNA-Seq Normalization Methods | Zendy

Bo Ding | Zendy; Lina Zheng | Zendy; Wei Wang | Zendy

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Assessment of Single Cell RNA-Seq Normalization Methods

Author(s) -

Bo Ding,

Lina Zheng,

Wei Wang

Publication year - 2017

Publication title -

g3 genes genomes genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.468

H-Index - 66

ISSN - 2160-1836

DOI - 10.1534/g3.117.040683

Subject(s) - normalization (sociology) , rna , rna seq , computational biology , computer science , biology , gene expression , transcriptome , gene , genetics , sociology , anthropology

We have assessed the performance of seven normalization methods for single cell RNA-seq using data generated from dilution of RNA samples. Our analyses showed that methods considering spike-in External RNA Control Consortium (ERCC) RNA molecules significantly outperformed those not considering ERCCs. This work provides a guidance of selecting normalization methods to remove technical noise in single cell RNA-seq data.

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