In an era of Biology where modern imaging and sequencing technologies allow to study
almost any biological process at molecular levels, it is now possible to study the content …

Flow and image cytometry are mature single-cell analysis technologies that have been
developed over the past 50 years. Fluorescence has been the primary mode of generating …

Single-cell genomics technology is an exciting emerging area that holds the promise to
revolutionize our understanding of diseases and associated biological processes. It allows …

Single-cell sequencing unveils a treasure trove into the biological and molecular
characteristics of samples. Yet, within this flood of data, the challenge to draw meaningful …

Motivation Bioinformatic analysis of single-cell gene expression data is a rapidly evolving
field. Hundreds of bespoke methods have been developed in the past few years to deal with …

Single cell RNA-seq has revolutionized transcriptomics by providing cell type resolution for
differential gene expression and expression quantitative trait loci (eQTL) analyses. However …

Advances in single-cell RNA-sequencing technology have resulted in a wealth of studies
aiming to identify transcriptomic cell types in various biological systems. There are multiple …

Single-cell technologies have revolutionised biological research and applications. As they
continue to evolve with multi-omics and spatial resolution, analysing single-cell datasets is …

Background The advent of single cell RNA sequencing (scRNA-seq) enabled researchers to
study transcriptomic activity within individual cells and identify inherent cell types in the …

The single‐cell revolution in the field of genomics is in full bloom, with clever new molecular
biology tricks appearing regularly that allow researchers to explore new modalities or scale …