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 ...

An implicit enumeration algorithm is developed for the machine sequencing problem. The method is based on the graph-theoretical representation of the problem. The convergence of the algorithm is ...

As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...

Just as asking a single person about their health will provide tailored, personalized information impossible to glean from a large poll, an individual cell's genome or transcriptome can provide much ...

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 ...

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.