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 ...

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

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

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 ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through ...

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

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

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 ...