R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Researchers have amassed vast single-cell gene expression databases to understand how the smallest details impact human ...

163.com Objectives The heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various ...

Thus, they do not necessarily follow the latest best practices for scRNA-seq analysis anymore. For an up-to-date version of the latest best practices for single-cell RNA-seq analysis (and more ...

A thorough examination of the immune cell landscape in the hepatic mesenchymal stromal microenvironment of WD patients was performed using single-cell RNA sequencing (scRNA-seq). Specifically, there ...

In a paper published in SCIENCE CHINA Life Science, an international team of scientists provided a comprehensive overview of ...

Background: Up to now, three groups used single cell RNA sequencing (scRNA-seq) to analyse the synovium in arthritis using different methods and material to measure RNA expression on a single cell ...

Despite advancements in therapeutic interventions and an enhanced understanding of its pathophysiology, emerging techniques such as single-cell RNA sequencing (scRNA-seq) and Mendelian randomization ...

Illumina has begun rolling out a series of updates to its top-of-the-line DNA sequencer models, with the goal of making the ...

A recently published paper in Science China Life Sciences reports an interdisciplinary study utilizing single-cell sequencing ...