Simulating multiple faceted variability in single cell RNA sequencing

Xiuwei Zhang; Chenling Xu; Nir Yosef

doi:10.1038/s41467-019-10500-w

Nature Communications (Jun 2019)

Simulating multiple faceted variability in single cell RNA sequencing

Xiuwei Zhang,
Chenling Xu,
Nir Yosef

Affiliations

Xiuwei Zhang: Department of Electrical Engineering and Computer Sciences, Center for Computational Biology, UC Berkeley
Chenling Xu: Department of Electrical Engineering and Computer Sciences, Center for Computational Biology, UC Berkeley
Nir Yosef: Department of Electrical Engineering and Computer Sciences, Center for Computational Biology, UC Berkeley

DOI: https://doi.org/10.1038/s41467-019-10500-w
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 16

Abstract

Read online

Simulated single cell RNA sequencing data is useful for method development and comparison. Here, the authors developed SymSim, a simulator that explicitly models the main factors of variation in single cell data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal