Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

Advances in single-cell RNA sequencing (scRNA-seq) have allowed for comprehensive
analysis of the immune system. In this Review, we briefly describe the available scRNA-seq …

The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided
with transformative new methods to profile genetic, epigenetic, spatial, proteomic and …

Cells, the basic units of biological structure and function, vary broadly in type and state.
Single-cell genomics can characterize cell identity and function, but limitations of ease and scale …

… Our approach, implemented in an updated version 4 of our open source R toolkit Seurat,
represents a broadly applicable strategy for integrative multimodal analysis of single-cell data. …

… We apply this approach, implemented in our R toolkit Seurat ( http://satijalab.org/seurat/ ),
to align scRNA-seq data sets of peripheral blood mononuclear cells under resting and …

… Our results, implemented in an updated version 3 of our open-source R toolkit Seurat, …
imputed expression levels (Figures 4A and 4B; median R = 0.826), with the remaining residual en…

… We implement our method as part of the Seurat R package for single-cell analysis, named
for the artist Georges Seurat to invoke the analogy between the intricate spatial patterning of …

10.7554/eLife.27041.001 The recent advent of methods for high-throughput single-cell
molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe …

… approach is freely available as an open-source R package sctransform (github.com/ChristophH/sctransform),
with an accompanying interface to our single-cell R toolkit Seurat [16–18]. …