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 ...

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 ...

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 ...

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 ...

Researchers have developed BayesCNA, a new method that detects cancer DNA at just 5% in blood samples, potentially improving ...