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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Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.
PMID 16351744 · PMC1866390 · BMC bioinformatics · 2005 · 5 claims · 3 setups
OMIM Clinical Synopsis free-text phenotype and location names can be normalized and hierarchically structured into a controlled vocabulary suitable for computational analysis
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The mammalian phenotype ontology: enabling robust annotation and comparative analysis.
PMID 20052305 · PMC2801442 · Wiley interdisciplinary reviews. Systems biology and medicine · 2009 · 8 claims · 6 setups
The Mammalian Phenotype (MP) Ontology enables classification and organization of phenotypic data for mouse and other mammalian species in a computationally useful, standardized manner.
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SNP haplotype tagging from DNA pools of two individuals.
PMID 12709267 · PMC156884 · BMC bioinformatics · 2003 · 8 claims · 3 setups
An algorithm can reconstruct haplotypes from pools of two individuals' DNA under very general conditions, without requiring Hardy-Weinberg equilibrium.
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G2Cdb: the Genes to Cognition database.
PMID 18984621 · PMC2686544 · Nucleic acids research · 2009 · 7 claims · 7 setups
G2Cdb integrates experimentally validated synapse proteome datasets with mouse/human genomic annotation, phenotype, and human disease data in a gene-centric database.
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.
PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups
Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions