The answer depends on the questions you’re trying to answer, as well as the origin, quantity, and quality of your samples. In this article, we’ll briefly discuss several RNA-seq workflows, how they ...

In this Teach Me in 10 episode, Dr. Shaveta Goyal, Group Leader of NGS at Takara Bio USA, outlines the practical considerations that matter most when selecting an RNA-seq workflow.<br /><br /> ...

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 ...

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. The approach ...

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 ...

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 ...

Inside every cell, thousands of molecular signals collide, overlap, and compensate, obscuring the true drivers of gene expression. Scientists have now developed a way to silence that cellular noise, ...

By tagging neurons with molecular "barcodes," researchers have mapped connections among thousands of neurons in the mouse brain with unprecedented speed and resolution. The approach could expand ...

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