A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...

Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...

In RNA-seq library preparation, selecting the appropriate number of PCR cycles is a critical balancing act to avoid overcycling.

A new spatial transcriptomic approach captures the regulation of splicing and polyadenylation sites during pubescent brain development at near-single-cell resolution. An international collaboration, ...

Visualization in the UMAP space of samples corresponding to the subtypes ER+ (a), HER2+ (b), and TN (c). The samples were categorized by cancer subtype and integrated. Cells are color-coded according ...

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 ...

SPT Labtech, a global leader in the design and development of laboratory automation and liquid handling solutions, and Alithea Genomics, a pioneer in the field of large-scale RNA sequencing and ...

Computational biology has put the human brain vasculature in its crosshairs. On July 23 in Neuron, scientists led by Andrew Yang, University of California, San Francisco, report a multiomic approach ...

Preliminary results of tumor-informed minimal residual disease detection in pancreatic cancer patients following curative resection and FOLFIRINOX adjuvant chemotherapy.

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 ...