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 comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

Plasmidsaurus has launched a new RNA-Seq service for Illumina short read applications, bringing the same approach they use for plasmid sequencing to gene expression analysis. Attendees at this week’s ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Researchers at University Medical Center Utrecht have uncovered a previously underappreciated mechanism that helps immune ...