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 ...

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 ...

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 ...

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 ...

A computational method called scSurv links individual cells to patient outcomes using widely available bulk RNA sequencing ...

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

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

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells.