Single-cell multimodal omics: the power of many
Nat Methods
.
2020 Jan;17(1):11-14.
doi: 10.1038/s41592-019-0691-5.
Authors
Chenxu Zhu
1
,
Sebastian Preissl
2
3
,
Bing Ren
4
5
6
7
Affiliations
1
Ludwig Institute for Cancer Research, La Jolla, CA, USA.
2
Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
3
Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
4
Ludwig Institute for Cancer Research, La Jolla, CA, USA. biren@ucsd.edu.
5
Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA. biren@ucsd.edu.
6
Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA. biren@ucsd.edu.
7
Institute of Genome Medicine, Moores Cancer Center, University of California, San Diego School of Medicine, La Jolla, CA, USA. biren@ucsd.edu.
PMID:
31907462
DOI:
10.1038/s41592-019-0691-5
No abstract available
MeSH terms
Epigenome*
Gene Expression Profiling / methods*
Gene Regulatory Networks*
Genomics / methods*
Humans
Metabolic Networks and Pathways
Proteome / analysis*
Single-Cell Analysis / methods*
Substances
Proteome