Understand the stages of a standard RNA-seq bioinformatics workflow, including the role of QC, alignment, gene expression quantification, and specialized application analyses Identify key QC metrics ...

Glioblastoma is the deadliest cancer that begins in the brain, and it announces itself with a median survival of only about ...

Every gene in the human genome carries a hidden layer of instructions that determines which parts of its RNA message are kept ...

Genes are expressed when messenger RNA is made from DNA, which is then translated into proteins. Researchers use single-cell and bulk RNA-seq analysis to study gene expression, creating vast amounts ...

New whole blood RNA sequencing data identified coordinated, consistent change in genes governing immune re-balancing, myofibroblast inhibition, ...

RNA-seq analysis converts sequencing reads into quantified expression measurements and statistically supported claims about which genes differ between conditions. The pipeline appears algorithmic, but ...

A team of scientists led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have released one of the world's largest and most comprehensive long-read RNA sequencing datasets, addressing a ...

Single-cell RNA-seq analysis is a field in life sciences that has seen rapid technological innovation in recent years.

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

Bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) both quantify gene expression, but they address fundamentally different experimental questions. Bulk RNA-seq captures the ...