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 ...

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

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 ...

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

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 ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...

Human vs. AI: A comparative effectiveness study of large language models for automated biomarker extraction. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

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 ...