Scientists in the laboratory of Rendong Yang, Ph.D., associate professor of Urology, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more ...

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, ...

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 ...