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 ...

Over the past decade, significant advancements have been made in both DNA synthesis and sequencing technologies 1,2,3,4,5,6,7. These advancements have also led to the emergence of DNA-based data ...

Long-read sequencing technologies analyse long, continuous stretches of DNA. These methods have the potential to improve researchers’ ability to detect complex genetic alterations in cancer genomes.

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 ...

DNA has been proposed as an alternative to magnetic and solid-state devices for storing digital data. In DNA data storage, writing data is performed through DNA synthesis, and reading is done via ...

Genome sequencing has been a cornerstone of genomics research and personalized medicine, enabling the detailed mapping of genetic information. However, the completeness and accuracy of human genome ...

The PRRDetect algorithm identifies hidden DNA repair flaws in tumors It helps doctors choose effective therapies based on the tumor’s genetics This advancement brings personalized cancer care closer ...

Cornell researchers have found that a new DNA sequencing technology can be used to study how transposons move within and bind to the genome. Transposons play critical roles in immune response, ...

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 ...