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).
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BLIT: an R package for seamless integration of command-line bioinformatics tool universe.
PMID 42164079 · PMC13183670 · Bioinformatics advances · 2026 · 8 claims · 5 setups
BLIT provides a unified R6-based framework for seamless integration of command-line bioinformatics tools within R, replacing fragile string-based system() calls.
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Columba: an integrated database of proteins, structures, and annotations.
PMID 15801979 · PMC1087474 · BMC bioinformatics · 2005 · 8 claims · 6 setups
COLUMBA physically integrates data from twelve protein structure-related databases (PDB, KEGG, Swiss-Prot, CATH, SCOP, Gene Ontology, ENZYME, etc.) into a single PostgreSQL data warehouse.
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Gene-disease relationship discovery based on model-driven data integration and database view definition.
PMID 19042916 · PMC2639000 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 4 setups
Explicit gene–disease relationships can be formulated as candidate gene definitions (e.g., co-localization, dysregulation, functional similarity) that may include intermediary orthologous or interacting genes
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Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.
PMID 18782832 · PMC2686584 · Nucleic acids research · 2009 · 8 claims · 5 setups
CTD is a manually curated knowledgebase that integrates chemical-gene interactions, chemical-disease relationships, and gene-disease relationships into a chemical-gene-disease triad
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.