The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

A fundamental goal of developmental and stem cell biology is to map the developmental
history (ontogeny) of differentiated cell types. Recent advances in high-throughput single …

The upper respiratory tract is compromised in the early period of COVID-19, but SARS-CoV-
2 tropism at the cellular level is not fully defined. Unlike recent single-cell RNA-Seq analyses …

Delineating the gene-regulatory programs underlying complex cell types is fundamental for
understanding brain function in health and disease. Here, we comprehensively examined …

Single-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular
differentiation trajectories. However, inferring both the state and direction of differentiation is …

Trajectory inference has radically enhanced single-cell RNA-seq research by enabling the
study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital …

Methods for profiling genes at the single-cell level have revolutionized our ability to study
several biological processes and systems including development, differentiation, response …

One primary reason that makes single-cell RNA-seq analysis challenging is dropouts, where
the data only captures a small fraction of the transcriptome of each cell. Almost all …

Background Recent innovations in single-cell Assay for Transposase Accessible Chromatin
using sequencing (scATAC-seq) enable profiling of the epigenetic landscape of thousands …

The transcriptomic classification of glioblastoma (GBM) has failed to predict survival and
therapeutic vulnerabilities. A computational approach for unbiased identification of core …