A research team at The University of Hong Kong (HKU), has developed ClairS—a deep-learning algorithm that significantly improves the detection of cancer mutations using long-read sequencing. Tested on breast cancer, lung cancer and melanoma cell line datasets, ClairS has demonstrated high accuracy across various cancer types and sequencing conditions.

The team was led by Professor Ruibang Luo, assistant director of Learning Experience & Student Enrichment and associate head of the Department of AI & Data Science at the School of Computing and Data Science (CDS) at HKU. The findings are published in the journal Nature Methods. ClairS is open source and available on GitHub.