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 ...

In just a few decades, DNA sequencing technologies evolved from slow, manual processes to rapid, automated ones, making ...

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 ...

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 ...

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When it comes to finding answers, every moment counts—especially in critical care settings like the neonatal and pediatric intensive care units (NICU and PICU). Although rapid genetic tests, whether ...

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

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

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 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 ...