bioRxiv (Bioinformatics)

Feng et al. in the Li Lab at GeneMind Biosciences Co. demonstrate that the SURFSeq 5000 platform achieves the lowest error rates for detecting low-frequency somatic mutations, while their machine learning-based caller, SomaticXGB, significantly outperforms conventional variant detection methods.