Cobolt: integrative analysis of multimodal single-cell sequencing data

被引:0
作者
Boying Gong
Yun Zhou
Elizabeth Purdom
机构
[1] University of California,Division of Biostatistics
[2] Berkeley,Department of Statistics
[3] University of California,undefined
[4] Berkeley,undefined
来源
Genome Biology | / 22卷
关键词
Single cell; Multi-omics; Integration;
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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.
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