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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Has reproduction · 50
SMAC, a computational system to link literature, biomedical and expression data.
PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 8 claims · 8 setups
SMAC is a tool that extracts, prioritises, integrates and analyses biomedical and molecular data according to user-defined terms
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Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system.
PMID 15115540 · PMC420239 · BMC genomics · 2004 · 6 claims · 3 setups
Bioinformatic sequence comparison of 60,770 RIKEN FANTOM2 mouse cDNA clones identified 2,578 sequences with 70-85% identity to known human disease genes/proteins
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Linking disease-associated genes to regulatory networks via promoter organization.
PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups
Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks
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Has reproduction · 94
Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.
PMID 36088548 · PMC9487593 · Briefings in bioinformatics · 2022 · 8 claims · 6 setups
Well-established, hierarchically organized pathway annotation systems (e.g. GO, Reactome, KEGG) yield the best overall enrichment performance despite covering much of the human genome only in general terms.
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Has reproduction · 75
An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries.
PMID 33247935 · PMC7698665 · Database : the journal of biological databases and curation · 2020 · 8 claims · 6 setups
GETc enables discovery and visualization of time-course gene expression data and analytical results from GEO
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes