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

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 review of matched-sample benchmarking studies finds standard RNA-seq recovers only 3–5% of TCR clonotypes identified by ...

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 ...

A team of scientists led by the A*STAR Genome Institute of Singapore (A*STAR GIS) have released one of the world's largest and most comprehensive long-read RNA sequencing datasets, addressing a ...

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

TychoBio will use long-read sequencing data to train models that predict how antisense oligonucleotides affect gene ...

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 ...