A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

RNA plays critical roles in nearly all biological processes, but current methods for sequencing RNA are significantly limited. This is partially because RNA molecules are chemically modified within ...

In this Teach Me in 10 episode, Dr. Shaveta Goyal, Group Leader of NGS at Takara Bio USA, outlines the practical ...

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: ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

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

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...

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

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

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