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 ...

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

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

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 ...

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

Announcing a new publication for Acta Materia Medica journal. Single-cell RNA sequencing (scRNA-seq) data from published datasets were obtained to investigate the expression and dysregulation of ...

Adjuvant abemaciclib outcomes in routine clinical practice (experience of several Moscow centers). This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include ...