Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

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 ...

RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...

RNA-seq succeeded across all tumor types and tissue formats, including degraded FFPE samples. Researchers conclude that targeted RNA-seq can serve as a stand-alone molecular diagnostic with high yield ...

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 ...

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

According to research from a team at the University of Utah Health and the University of Nevada, Reno School of Medicine, ...

Cell-cell signaling networks in African turquoise killifish inferred using CellChat from single-nucleus RNA-sequencing data ...

By adding AI-enabled RNA design and active learning, Eclipsebio extends its sequencing-based analytics platform into a fully ...