Assessment of Single Cell RNA-Seq Normalization Methods

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...

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Detalles Bibliográficos
Autores principales: Ding, Bo, Zheng, Lina, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2017
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499114/
https://www.ncbi.nlm.nih.gov/pubmed/28468817
http://dx.doi.org/10.1534/g3.117.040683
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author Ding, Bo
Zheng, Lina
Wang, Wei
author_facet Ding, Bo
Zheng, Lina
Wang, Wei
author_sort Ding, Bo
collection PubMed
description 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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spelling pubmed-54991142017-07-07 Assessment of Single Cell RNA-Seq Normalization Methods Ding, Bo Zheng, Lina Wang, Wei G3 (Bethesda) Investigations 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. Genetics Society of America 2017-05-03 /pmc/articles/PMC5499114/ /pubmed/28468817 http://dx.doi.org/10.1534/g3.117.040683 Text en Copyright © 2017 Ding et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Ding, Bo
Zheng, Lina
Wang, Wei
Assessment of Single Cell RNA-Seq Normalization Methods
title Assessment of Single Cell RNA-Seq Normalization Methods
title_full Assessment of Single Cell RNA-Seq Normalization Methods
title_fullStr Assessment of Single Cell RNA-Seq Normalization Methods
title_full_unstemmed Assessment of Single Cell RNA-Seq Normalization Methods
title_short Assessment of Single Cell RNA-Seq Normalization Methods
title_sort assessment of single cell rna-seq normalization methods
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499114/
https://www.ncbi.nlm.nih.gov/pubmed/28468817
http://dx.doi.org/10.1534/g3.117.040683
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