1.
Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
by Muus, Christoph
Nature medicine, 2021-03, Vol.27 (3), p.546-559

2.
Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells
by Rooijers, Koos
Nature biotechnology, 2019-07, Vol.37 (7), p.766-772

3.
Integrating single-cell transcriptomic data across different conditions, technologies, and species
by Butler, Andrew
Nature biotechnology, 2018-06, Vol.36 (5), p.411-420

4.
Determining cell type abundance and expression from bulk tissues with digital cytometry
by Newman, Aaron M
Nature biotechnology, 2019-07, Vol.37 (7), p.773-782

5.
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
by Bankevich, Anton
Journal of computational biology, 2012-05-01, Vol.19 (5), p.455-477

6.
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
by Raj, Bushra
Nature biotechnology, 2018-06, Vol.36 (5), p.442-450

7.
Spatial reconstruction of single-cell gene expression data
by Satija, Rahul
Nature biotechnology, 2015-05, Vol.33 (5), p.495-502

8.
Detecting Activated Cell Populations Using Single-Cell RNA-Seq
by Wu, Ye Emily
Neuron (Cambridge, Mass.), 2017-10-11, Vol.96 (2), p.313-329.e6

9.
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
by Rotem, Assaf
Nature biotechnology, 2015-11, Vol.33 (11), p.1165-1172

10.
Multiplexed quantification of proteins and transcripts in single cells
by Peterson, Vanessa M
Nature biotechnology, 2017-10, Vol.35 (10), p.936-939

11.
Single-Cell Whole-Genome Amplification and Sequencing: Methodology and Applications
by Huang, Lei
Annual review of genomics and human genetics, 2015-08-24, Vol.16 (1), p.79-102

12.
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
by Hie, Brian
Nature biotechnology, 2019-06, Vol.37 (6), p.685-691

13.
Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes
by Fuzik, János
Nature biotechnology, 2016-02, Vol.34 (2), p.175-183

14.
A single-cell atlas of the peripheral immune response in patients with severe COVID-19
by Wilk, Aaron J
Nature medicine, 2020-07, Vol.26 (7), p.1070-1076

15.
Highly scalable generation of DNA methylation profiles in single cells
by Mulqueen, Ryan M
Nature biotechnology, 2018-06, Vol.36 (5), p.428-431

16.
Simultaneous lineage tracing and cell-type identification using CRISPR-Cas9-induced genetic scars
by Spanjaard, Bastiaan
Nature biotechnology, 2018-06, Vol.36 (5), p.469-473

17.
A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors
by Slyper, Michal
Nature medicine, 2020-05, Vol.26 (5), p.792-802

18.
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
by Kang, Hyun Min
Nature biotechnology, 2018-01, Vol.36 (1), p.89-94

19.
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
by Amir, El-ad David
Nature biotechnology, 2013-06, Vol.31 (6), p.545-552

20.
Genomic Analysis at the Single-Cell Level
by Kalisky, Tomer
Annual review of genetics, 2011-12-15, Vol.45 (1), p.431-445
