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, ...

RNA sequencing (RNA-seq) is a powerful transcriptomics approach for measuring differential gene expression (DGE) across the ...

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 ...

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 ...

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 ...

Researchers from Children's Hospital of Philadelphia (CHOP) developed a new RNA sequencing strategy that can reveal how genetic variants disrupt gene function and improve the diagnosis of rare ...

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 ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

While bulk sequencing quickly became the preferred method, scRNA-seq has increased in popularity in the last decade. In 2015, just 6 % of RNA-seq papers used single-cell methodologies. By 2025, the ...