BaitBench: a comprehensive tool for building, as-sessing, and predicting outcomes for hybrid capture enrichment probes

BaitBench integrates design, assessment, and thermodynamic simulation for hybrid capture enrichment probes, achieving high accuracy with a reported correlation of {rho} = 0.916 on public datasets.

• Why it matters: Hybridization capture sequencing depends on building robust probe sets, but existing probe tools are fragmented and hard to connect across development and analysis steps.
• What they did: BaitBench wraps or reimplements multiple probe tools in Rust and adds a thermodynamic model to simulate capture, tracking simulated reads end-to-end to diagnose false positives and false negatives.
• The result: Validation on publicly available data produced a high correlation ({rho} = 0.916), supporting that the integrated simulation can translate to real-world probe performance.

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