Here we present ICARUS, a web server to enable users without experience in R to
undertake single cell RNA-seq analysis. The focal point of ICARUS is its intuitive tutorial …

Despite the growing availability of sophisticated bioinformatic methods for the analysis of
single-cell RNA-seq data, few tools exist that allow biologists without extensive bioinformatic …

A visualization suite for major forms of bulk and single-cell RNAseq data in R. dittoSeq is
color blindness-friendly by default, robustly documented to power ease-of-use and allows …

Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene
expression at the level of individual cells. However, preparing raw sequence data for further …

Motivation Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of
thousands of individual cells, enabling the molecular exploration of tissues at the cellular …

Background Recent developments in single-cell RNA sequencing (scRNA-seq) platforms
have vastly increased the number of cells typically assayed in an experiment. Analysis of …

Background Single-cell RNA sequencing (scRNA-seq) enables the high-throughput
quantification of transcriptional profiles in single cells. In contrast to bulk RNA-seq, additional …

Background Single cell transcriptome sequencing has become an increasingly valuable
technology for dissecting complex biology at a resolution impossible with bulk sequencing …

Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA …

Complex biological traits and disease often involve patterns of gene expression that can be
characterised and examined. Here we present ICARUS v2. 0, an update to our single cell …