Cobolt: integrative analysis of multimodal single-cell sequencing data.
Integration
Multi-omics
Single cell
Journal
Genome biology
ISSN: 1474-760X
Titre abrégé: Genome Biol
Pays: England
ID NLM: 100960660
Informations de publication
Date de publication:
28 12 2021
28 12 2021
Historique:
received:
15
07
2021
accepted:
22
11
2021
entrez:
29
12
2021
pubmed:
30
12
2021
medline:
15
3
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34963480
doi: 10.1186/s13059-021-02556-z
pii: 10.1186/s13059-021-02556-z
pmc: PMC8715620
doi:
Substances chimiques
Chromatin
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
351Subventions
Organisme : NIMH NIH HHS
ID : U19 MH114830
Pays : United States
Informations de copyright
© 2021. The Author(s).
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