A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data.

Researchers at Karolinska Institutet have developed a rapid and cost-efficient sequencing method that can identify antibiotic ...

A new sequencing-based method uses molecular barcodes to trace synaptic connections among neurons. The approach enables large ...

Selecting an RNA-seq workflow requires more than matching a kit to a sample type. Choices around ribodepletion, strandedness, and unique molecular identifiers (UMIs) directly influence data quality ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Researchers from two labs in the Human Biology division at Fred Hutch Cancer Center recently published two studies aimed at better understanding how a notorious gene fusion — ZFTA-RELA — drives rare ...

A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.