Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Metappuccino: large language model-driven reconstruction of sequence read archive metadata for cancer research.

  PMID 42057294 · PMC13148957 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 3 setups

  Full-text index only

  Metappuccino reconstructs 19 metadata classes by combining deterministic rule-based extraction/normalization (for explicit context) with LoRA-specialized Mistral-7B-Instruct completion (for missing/ambiguous fields)

  ncbi sra metadata llm-based rule-based