Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

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 ...

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 ...

To get more out of RNA-seq analysis, scientists at St. Jude Children's Research Hospital created ReDeconv, an algorithmic tool that accounts for transcriptome size differences to unmask those ...

This article and associated images are based on a poster originally authored by Marisa Amato and presented at ELRIG Drug Discovery 2025 in affiliation with Singleron Biotechnologies GmbH. This poster ...

Integrated DNA and RNA profiling reveals differences between bacterial presence and metabolic activity in carious ...

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 ...

In most modern cells, DNA stores the genetic blueprint, and proteins replicate, repair and build from those blueprints. At ...

A new Northwestern Medicine study published in the Proceedings of the National Academy of Sciences has explored the impacts ...