Integration of Single-Cell Genomics Datasets
- PMID: 31199914
- DOI: 10.1016/j.cell.2019.05.034
Integration of Single-Cell Genomics Datasets
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.
Copyright © 2019 Elsevier Inc. All rights reserved.
Comment on
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Comprehensive Integration of Single-Cell Data.Cell. 2019 Jun 13;177(7):1888-1902.e21. doi: 10.1016/j.cell.2019.05.031. Epub 2019 Jun 6. Cell. 2019. PMID: 31178118 Free PMC article.
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Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.Cell. 2019 Jun 13;177(7):1873-1887.e17. doi: 10.1016/j.cell.2019.05.006. Epub 2019 Jun 6. Cell. 2019. PMID: 31178122 Free PMC article.
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