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

Boying GongYun ZhouElizabeth Purdom
Published in: Genome biology (2021)
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.
Keyphrases
  • single cell
  • rna seq
  • gene expression
  • high throughput
  • electronic health record
  • big data
  • dna methylation
  • dna damage
  • induced apoptosis
  • data analysis
  • pain management
  • signaling pathway