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 ...

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 ...

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 ...

RNA-seq succeeded across all tumor types and tissue formats, including degraded FFPE samples. Researchers conclude that targeted RNA-seq can serve as a stand-alone molecular diagnostic with high yield ...

Researchers at University Medical Center Utrecht have uncovered a previously underappreciated mechanism that helps immune cells to respond rapidly to infections. Using advanced long-read RNA ...

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

Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...

Inside every cell, thousands of molecular signals collide, overlap, and compensate, obscuring the true drivers of gene expression. Scientists have now developed a way to silence that cellular noise, ...

Bacteria aren’t just mindless microbes. Research by scientists at the Hebrew University of Jerusalem has revealed that single bacterial cells can carry a “memory” of their past environments—passing it ...