@article {Habib2017Aug,
	title = {Massively parallel single-nucleus RNA-seq with DroNc-seq},
	journal = {Nat. Methods},
	volume = {14},
	number = {10},
	year = {2017},
	month = {Aug},
	pages = {955},
	publisher = {Nature Publishing Group},
	abstract = {Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that are preserved or cannot be dissociated, but it does not provide high throughput. Here, we develop DroNc-seq: massively parallel sNuc-seq with droplet technology. We profile 39,111 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient, and unbiased classification of cell types, paving the way for systematic charting of cell atlases.},
	issn = {1548-7105},
	doi = {10.1038/nmeth.4407},
	url = {https://www.nature.com/articles/nmeth.4407},
	author = {Habib, Naomi and Avraham-Davidi, Inbal and Anindita Basu and Burks, Tyler and Karthik Shekhar and Hofree, Matan and Choudhury, Sourav R. and Aguet, Francois and Gelfand, Ellen and Ardlie, Kristin and Weitz, DavidA. and Rozenblatt-Rosen, Orit and Zhang, Feng and Regev, Aviv}
}
