<p>Quantifying isoform expression in single-cell RNA-seq data with STARsolo-Quant</p>

Nathan Castro Pacheco; Alexander Dobin

doi:10.7490/f1000research.1117635.1

Home Browse Quantifying isoform expression in single-cell RNA-seq data with STARsolo-Quant

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Castro Pacheco N and Dobin A. Quantifying isoform expression in single-cell RNA-seq data with STARsolo-Quant [version 1; not peer reviewed]. F1000Research 2019, 8:1897 (slides) (https://doi.org/10.7490/f1000research.1117635.1)

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Quantifying isoform expression in single-cell RNA-seq data with STARsolo-Quant

Nathan Castro Pacheco, Alexander Dobin¹

Published 11 Nov 2019 (https://doi.org/10.7490/f1000research.1117635.1)

Author Affiliations

¹ Cold Spring Harbor Laboratory, USA

Copyright © 2019 Castro Pacheco N and Dobin A. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 11 Nov 2019

Quantifying isoform expression in single-cell RNA-seq data with STARsolo-Quant
[version 1; not peer reviewed]

Nathan Castro Pacheco, Alexander Dobin¹

Author Affiliations

¹ Cold Spring Harbor Laboratory, USA

Presented at

Genome Informatics 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

single cell RNA-seq, transcript quantification, alternative polyadenylation

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