Abstract RNA-sequencing (RNA-seq) has a wide variety of applications, but no single
analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data …

Technology development in biological research often aims to either increase the number of
cellular features that can be surveyed simultaneously or enhance the resolution at which …

Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of
individual cells. This provides biological resolution that cannot be matched by bulk RNA …

Normalization of single-cell RNA sequencing data is necessary to eliminate cell-specific
biases prior to downstream analyses. However, this is not straightforward for noisy single …

Understanding human embryonic ventral midbrain is of major interest for Parkinson's
disease. However, the cell types, their gene expression dynamics, and their relationship to …

Single-cell genomics has now made it possible to create a comprehensive atlas of human
cells. At the same time, it has reopened definitions of a cell's identity and of the ways in …

Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical
research. One of the key challenges is to ensure that only single, live cells are included in …

Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows
us to address scientific questions that eluded examination just a few years ago. With the …

The genetic, functional or compositional heterogeneity of healthy and diseased tissues
presents major challenges in drug discovery and development. Such heterogeneity hinders …

The murine epidermis with its hair follicles represents an invaluable model system for tissue
regeneration and stem cell research. Here we used single-cell RNA-sequencing to reveal …