publication-trustlisted

# Publication Trust Assessment Evaluate the scientific integrity and reliability of publications before building analyses on their findings. ## When to Use - User wants to evaluate the reliability and reproducibility of a genomics publication - User asks about "publication quality", "reproducibility", "trust assessment", or "paper evaluation" - User needs to check if a paper follows ENCODE data standards and best practices - User wants to verify that cited datasets, tools, and methods meet community standards - Example queries: "is this paper's ChIP-seq analysis trustworthy?", "evaluate the methods in this genomics paper", "check if this study follows ENCODE standards" ## Why This Matters Not all published findings are reliable. Problems range from formal retractions (data fabrication, image manipulation) to informal contradictions where independent groups fail to reproduce key claims. In genomics and computational biology, building pipelines or analyses on unreliable findings wastes resources and propagates errors. **The problem is not always obvious.** Formal retractions are rare compared to the number of problematic papers. More commonly: - A subsequent study contradicts the key finding without triggering a retraction - An erratum quietly corrects a critical result - The original authors publish a "correction" that substantially changes conclusions - Independent groups fail to replicate and publish their negative results This skill provides a systematic approach to