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 ...

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 ...

Real-time nanopore transcriptomics enables early detection of expression changes and sample quality, offering a rapid, cost-effective strategy for experimental quality control and transcriptomic ...

This valuable study reports a spatiotemporal atlas of mouse placental development and explores the role of glycogen trophoblast cells in fetal viability. Solid data are presented to support the main ...

Recent advances in artificial intelligence are reshaping genomics, with new tools enabling faster, more accurate genome annotation, variant detection, and functional prediction across agriculture and ...

Two new technologies—an AI diagnostic system called DeepRare and a targeted long-read RNA sequencing platform named STRIPE—are showing promise in diagnosing rare diseases that evade standard tests.