Singapore, June 4 -- An international research team led by the A*STAR Genome Institute of Singapore (A*STAR GIS) has developed HERRO, an artificial intelligence (AI) tool that could make it easier and more cost-effective to produce complete, high-quality genome assemblies.

HERRO corrects errors in nanopore sequencing reads generated by Oxford NanoporeTechnologies (ONT) sequencers. ONT is a leading player in long-read sequencing, a technology increasingly used when scientists need to read very long stretches of DNA. These long reads help researchers study complex parts of the genome that shorter sequencing reads can find challenging, such as repetitive DNA, centromeres, and the difficult regions of the sex chromosomes.

Published by HT Di...