RA3 is a reference-guided approach for epigenetic characterization of single cells

Shengquan Chen; Guanao Yan; Wenyu Zhang; Jinzhao Li; Rui Jiang; Zhixiang Lin

doi:10.1038/s41467-021-22495-4

Nature Communications (Apr 2021)

RA3 is a reference-guided approach for epigenetic characterization of single cells

Shengquan Chen,
Guanao Yan,
Wenyu Zhang,
Jinzhao Li,
Rui Jiang,
Zhixiang Lin

Affiliations

Shengquan Chen: Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University
Guanao Yan: School of Mathematical Sciences, Zhejiang University
Wenyu Zhang: Department of Statistics, The Chinese University of Hong Kong
Jinzhao Li: Department of Statistics, The Chinese University of Hong Kong
Rui Jiang: Ministry of Education Key Laboratory of Bioinformatics, Bioinformatics Division at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University
Zhixiang Lin: Department of Statistics, The Chinese University of Hong Kong

DOI: https://doi.org/10.1038/s41467-021-22495-4
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 13

Abstract

Read online

Methods for profiling differences between individual cells are constantly expanding. Here, the authors present a computational framework for the analysis of chromatin accessibility data at the single-cell level that takes into account previous knowledge and data-specific characteristics.

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/

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