The power of single cell RNA sequencing (scRNA-seq) stems from its ability to uncover cell
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …

Transcriptome sequencing or RNA-Seq is one of the most efficient and cost-effective
methods currently available for gene discovery in non-model organisms. Recent studies …

Recent technical improvements in single-cell RNA sequencing (scRNA-seq) have enabled
massively parallel profiling of transcriptomes, thereby promoting large-scale studies …

Single-cell RNA-sequencing (scRNA-seq) technology provides a new avenue to discover
and characterize cell types; however, the experiment-specific technical biases and analytic …

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 …

The growing number of available single-cell gene expression datasets from different species
creates opportunities to explore evolutionary relationships between cell types across …

Mutations are acquired frequently, such that each cell's genome inscribes its history of cell
divisions. Common genomic alterations involve loss of heterozygosity (LOH). LOH …

Complex biological systems are composed of multiple cell types whose transcriptional
activity can vary due to differences in cell state, environmental stimulation, or intrinsic …

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …

Single-cell RNA sequencing (scRNAseq) experiments provide a powerful means to identify
clusters of cells that share common gene expression signatures. A major challenge in …