The accurate detection of somatic variants in cancer without matched normal controls remains challenging, particularly for long-read sequencing data. Here, the authors develop ClairS-TO, a deep learning method for long-read tumour-only somatic variant calling that outperforms similar algorithms and can also work with short-read sequencing data.
- Lei Chen
- Zhenxian Zheng
- Ruibang Luo