Cobolt: integrative analysis of multimodal single-cell sequencing data
Boying Gong, Yun Zhou, Elizabeth Purdom
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.
Topics & Concepts
Modality (human–computer interaction)Computational biologyBiologyRNA-SeqData integrationProfiling (computer programming)ChromatinModalitiesHuman geneticsSingle-cell analysisComputer scienceCellGeneData miningArtificial intelligenceGeneticsGene expressionTranscriptomeSocial scienceOperating systemSociologySingle-cell and spatial transcriptomicsCancer Genomics and DiagnosticsRNA modifications and cancer