Cobolt: integrative analysis of multimodal single-cell sequencing data

Genome Biology

Elizabeth Purdom¹  Boying Gong²  Yun Zhou² 

[1] Department of Statistics, University of California, Berkeley, Berkeley, CA, USA;Division of Biostatistics, University of California, Berkeley, Berkeley, CA, USA;

关键词: Single cell;    Multi-omics;    Integration;   

DOI  :  10.1186/s13059-021-02556-z

来源: Springer

【 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.

【 授权许可】

CC BY