While RNA sequencing (RNA-seq) has become a standard tool for profiling which genes are active in an organism, determining ...

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 ...

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 ...

High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...

Selecting an RNA-seq workflow requires more than matching a kit to a sample type. Choices around ribodepletion, strandedness, and unique molecular identifiers (UMIs) directly influence data quality ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their ...

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

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 ...

Scalp tape-strips may represent a new, minimally invasive means by which to assess disease activity and treatment response in ...

Researchers at Hiroshima University have developed a new tool to quickly and accurately map fungal gene functions, even for ...