Deep-learning tool ClairS uses long-read sequencing for cancer mutations

Researchers at The University of Hong Kong developed ClairS, a new deep-learning tool to detect small cancer-related genetic mutations. It uses long-read sequencing data, which makes it better at spotting low-frequency or complex genetic changes that inform precision oncology. This could help tailor cancer treatments more accurately.