Article

An Eligibility-Aware Pipeline for Robust ITS Diagnostics in Fungi: A Cacao Case Study with Generalizable Rules

2025-11-02

Abstract excerpt

<h4>ABSTRACT</h4> Accurate fungal ITS diagnostics rely on public sequence archives, but heterogeneous record lengths, especially frequent truncation before the LSU/28S segment, cause naive in silico benchmarking to conflate primer performance with database incompleteness. To resolve this persistent “denominator error,” we present an open and fully reproducible “eligibility-aware” framework. Our pipeline first es...

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Literature Corpus work: ab54cc82-f6e8-5194-bfba-a140ace92f7f
DOI: 10.1101/2025.11.01.686068

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