Integration of Single-Cell Genomics Datasets

Research output: Contribution to journalShort survey

Abstract

Welch et al. and Stuart et al. present novel techniques for the integration of single-cell RNA-seq datasets across multiple platforms, individuals, and species. They both extend these strategies to map cell types between RNA-seq datasets with epigenetic properties and in situ transcript profiling. The ability to transfer information between datasets and spatial methods will enable more comprehensive profiling and comparisons of cell populations in complex biological systems.

Original languageEnglish (US)
Pages (from-to)1677-1679
Number of pages3
JournalCell
Volume177
Issue number7
DOIs
StatePublished - Jun 13 2019

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Genomics
RNA
Biological systems
Cells
Epigenomics
Population
Datasets

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Integration of Single-Cell Genomics Datasets. / Adey, Andrew.

In: Cell, Vol. 177, No. 7, 13.06.2019, p. 1677-1679.

Research output: Contribution to journalShort survey

Adey, Andrew. / Integration of Single-Cell Genomics Datasets. In: Cell. 2019 ; Vol. 177, No. 7. pp. 1677-1679.
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