Open-access databases such as the European Nucleotide Archive (ENA) contain more than 2.4 million bacterial genomes, and this number continues to grow rapidly. Until now, searching these vast ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Scaffolded DNA and RNA origami is a technique that allows scientists to build tiny, highly precise two- and three-dimensional ...

In a way, sequencing DNA is very simple: There's a molecule, you look at it, and you write down what you find. You'd think it would be easy—and, for any one letter in the sequence, it is. The problem ...

A breakthrough by researchers at Peter Mac will allow scientists to detect, analyze and profile cancer tumors in patients via a simple blood test. The Dawson lab at Peter Mac has developed a method ...

A group of a few dozen colorful translucent 3D blobs, many of which overlap, contain brightly colored dots against a black background. Three-dimensional transcriptomics data from an instrument ...

Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

Blood tests have proved to be a promising tool for detecting and monitoring cancer. Researchers at Chalmers University of Technology and the University of Gothenburg, Sweden, have now developed a new ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...