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 ...

A new deconvolution framework called ESMF uses single-cell reference data, negative binomial noise modeling and ...

A Nature Genetics analysis of GTEx tissues and seven phenotypes shows that annotation and quantification method choices ...

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 ...

Researchers from the University of Eastern Finland and Aalto University have developed a computational framework called SegPore that enhances the accuracy of RNA modification detection from direct RNA ...

When you start research using a Next-Generation Sequencer (NGS), one of the first problems you face is, "How many reads are needed?""I heard that RNA-seq requires 30 million reads, but is that really ...

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 ...

Parse Biosciences and Nomic Bio are partnering to create Cascade, a 100-million-cell multimodal dataset combining single-cell ...

MassBio is partnering with the ElevateBio team on November 2 to host 2026 R&D Reimagined – Techbio Solutions, the second in a ...

LAUSANNE, Switzerland--(BUSINESS WIRE)--Alithea Genomics, a leader in the field of large-scale RNA sequencing and transcriptomics, announced today the launch of MERCURIUS™ Full-Length DRUG-seq library ...