Cobolt: integrative analysis of multimodal single-cell sequencing data

被引:44
|
作者
Gong, Boying [1 ]
Zhou, Yun [1 ]
Purdom, Elizabeth [2 ]
机构
[1] Univ Calif Berkeley, Div Biostat, Berkeley, CA USA
[2] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
关键词
Single cell; Multi-omics; Integration; ATLAS; MODEL;
D O I
10.1186/s13059-021-02556-z
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
A growing number of single-cell sequencing platforms enable joint profiling of multiple omics from the same cells. We present Cobolt, a novel method that not only allows for analyzing the data from joint-modality platforms, but provides a coherent framework for the integration of multiple datasets measured on different modalities. We demonstrate its performance on multi-modality data of gene expression and chromatin accessibility and illustrate the integration abilities of Cobolt by jointly analyzing this multi-modality data with single-cell RNA-seq and ATAC-seq datasets.
引用
收藏
页数:21
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