Over the past decade, genomic analyses of single cells—the fundamental units of life—have
become possible. Single-cell DNA sequencing has shed light on biological questions that …

Single-cell sequencing is an increasingly used technology and has promising applications
in basic research and clinical translations. However, genotyping methods developed for bulk …

Measuring gene expression of tumor clones at single-cell resolution links functional
consequences to somatic alterations. Without scalable methods to simultaneously assay …

The immune system encompasses a large degree of phenotypic diversity and plasticity in its
cell types, and more is to be uncovered. We argue that large, multiomic datasets of single …

The premise of mutational signature analysis is that genomes acquire somatic mutations
through the collective action of discrete mutational processes, and its aim is to infer the …

Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-
throughput quantification of gene expression specific to cell types and states. With the cost of …

Making scientific analyses reproducible, well documented, and easily shareable is crucial to
maximizing their impact and ensuring that others can build on them. However …

Cancers develop and progress as mutations accumulate, and with the advent of single-cell
DNA and RNA sequencing, researchers can observe these mutations and their …

Single‐cell analyses can be confounded by assigning unrelated groups of cells to common
developmental trajectories. For instance, cancer cells and admixed normal epithelial cells …

Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool for studying the physiology
of normal and pathologically altered tissues. This approach provides information about …