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 ...

Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. RNA is more subject to degradation than DNA, whether chemical, ...

Download this application note to learn more about targeted sequencing approaches such as RNA exome sequencing. Is the form ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

Although there are striking differences between the cells that make up your eyes, kidneys, brain and toes, the DNA blueprint for these cells is essentially the same. Where do those differences come ...

From Illumina to Nanopore to PacBio, getting high-quality sequencing data starts long before the run begins. Careful library prep, accurate quantification, platform-specific QC checks, and novel RNA ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

Advances in genomics and transcriptomics continue to catapult basic and clinical research into a new era. A more comprehensive examination of genomic and transcriptional states allows for ...

Single-cell RNA sequencing is giving researchers a clearer view of why some CAR-T cells persist, expand, kill tumors ...