Abstract Accurate somatic variant identification remains a fundamental challenge in cancer genomics, where algorithmic variability and technical artifacts can significantly compromise variant calling accuracy. Single-caller approaches often lead to high false positive rates and poor reproducibility, while implementing multi-caller consensus strategies requires complex bioinformatics integration and standardized quality control frameworks. Here, we present SMURFS (Somatic MUtation Recognition Framework Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts) ; 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86 (8Suppl): Abstract nr LB160.
Yang et al. (Fri,) studied this question.