Have you ever wondered which single-cell RNA sequencing (scRNA-seq) data analysis tool to choose? We have compiled a list of the best single-cell analysis software to help you move …

Abstract Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool to explore cells. With an increasing number of scRNA-seq data analysis tools that have been developed, it is …

The development of specialized computational tools and methodologies for single-nucleus RNA-Seq analysis will facilitate the characterization of cell types and gene expression patterns in …

SingleCellExperiment: Container for single-cell RNA-Seq data. AnnotationHub: Access to a variety of genome annotation resources. BiocGenerics: S4 generic functions used across …

Single-cell RNA sequencing (scRNA-seq) has revolutionized how we study biological systems by allowing scientists to explore individual cell differences. With the explosion of data in single …

Single cell RNA sequencing has led us to revolutionize the field of medicine by making it possible to study the role of genetic expression in causing different diseases.

This chapter describes a pipeline for basic bioinformatics analysis of single-cell sequencing data. Starting with raw sequencing data, we will describe how to quality check samples (FastQC), to …

SingleCellNet is a computational tool to classify single-cell RNA-seq data by comparing query cells to reference single-cell RNA-seq datasets. The tool addresses the limitations of …

Cellenics® is a cloud-based tool, which means users can access it anytime, anywhere. It is fast, versatile, and straightforward to use, making it easy for biologists to analyze single-cell data …

Single-cell RNA sequencing technologies and related bioinformatics clustering and differential expression analysis represent a turning point in cancer research. They are emerging as …