Evaluating Claude’s bioinformatics research capabilities with BioMysteryBench

BioMysteryBench is a 99-question bioinformatics benchmark designed to evaluate large language models (specifically Claude) on realistic, often noisy biological datasets by using objective, verifiable ground-truth answers. The report describes the benchmark's method-agnostic design, human baselining (76 human-solvable and 23 human-difficult tasks), Claude's performance improvements across generations, its problem-solving strategies (leveraging broad prior knowledge and layering multiple methods), and the benchmark's limitations and role in advancing AI for scientific research.