This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises. The basic topics covered will include: 1) the ...

Additionally, an overview of single-cell data analysis with example applications in various research areas will be discussed. Join this webinar to learn how your single-cell research can benefit from ...

“Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from multiple grand ...

RNA-Seq has advanced our ability to characterize transcriptomes at high resolution, and the laboratory and data analysis techniques used for this NGS application continue to mature, notes John Tan ...

Analyzing a person's gene expression requires mapping their RNA landscape to a standard reference to gain insight into the degree to which genes are "turned on" and perform functions in the body.

As some scientists create huge, new, single-nucleus RNA-sequencing datasets, others devise ways to better use existing ones. At the Alzheimer’s Association International Conference held last month in ...

Scientists have developed a new extraction protocol for RNA-seq and metabolomic analysis, offering a more complete picture of cellular activity than either technique on its own. The protocol ...

Single-cell technology has revolutionized the field of biological research by enabling the analysis of individual cells, providing unprecedented insights into cellular heterogeneity and function. More ...