Article

Metappuccino: Large Language Model-driven Reconstruction of Sequence Read Archive Metadata for Cancer Research

2025-11-01

Abstract excerpt

<h4>Motivation</h4> High-throughput RNA-sequencing has significantly advanced transcriptomic profiling in on-cology. Millions of RNA-seq datasets have accumulated in public databases such as the Sequence Read Archive-SRA. However, fragmented, ambiguous or missing metadata can severely limit accurate cohort selection, introduce bias and delay discoveries. <h4>Results</h4> To address these issues, we introduce Met...

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Literature Corpus work: f85e977d-b95c-5ea9-bdc6-d3b0921b8d36
DOI: 10.1101/2025.10.31.685769

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