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Cobolt: integrative analysis of multimodal single-cell sequencing data.

ABSTRACT: 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.

SUBMITTER: Gong B

PROVIDER: S-EPMC8715620 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Cobolt: integrative analysis of multimodal single-cell sequencing data.

Gong Boying B Zhou Yun Y Purdom Elizabeth E

Genome biology 20211228 1

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 anal ...[more]

PMID: 34963480

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