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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POCUS: mining genomic sequence annotation to predict disease genes.
PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups
Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance
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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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A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.
PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups
Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units
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Has reproduction · 50
huSA: a comprehensive database for multi-dimensional resolution of bulk, single cell and spatial transcription profiles in skin diseases.
PMID 41719583 · PMC12923168 · Database : the journal of biological databases and curation · 2026 · 7 claims · 8 setups
huSA is a publicly accessible database integrating data from 17 skin diseases and 63 independent datasets, including 1434 scRNA-seq, 63 spatial transcriptomics, and 1502 bulk RNA-seq samples
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An analysis of human microRNA and disease associations.
PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups
MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.
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MACSIMS: multiple alignment of complete sequences information management system.
PMID 16792820 · PMC1539025 · BMC bioinformatics · 2006 · 8 claims · 5 setups
MACSIMS is a multiple alignment-based information management system combining knowledge-based database mining with ab initio sequence predictions
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Given the complexity of the human genome, can 'personalised medicine' or 'individualised drug therapy' ever be achieved?
PMID 19706359 · PMC3525196 · Human genomics · 2009 · 7 claims · 3 setups
The human genome is far too complex, given current understanding, for personalised medicine or individualised drug therapy to be realised in the near term
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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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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
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hORFeome v3.1: a resource of human open reading frames representing over 10,000 human genes.
PMID 17207965 · PMC4647941 · Genomics · 2007 · 8 claims · 7 setups
hORFeome v3.1 is a resource of 12,212 cloned human ORFs representing 10,214 genes, a 51% expansion over hORFeome v1.1
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F-SNP: computationally predicted functional SNPs for disease association studies.
PMID 17986460 · PMC2238878 · Nucleic acids research · 2008 · 6 claims · 8 setups
F-SNP is a database integrating functional effect predictions for SNPs from 16 bioinformatics tools/databases across four categories: splicing, transcription, translation, and post-translation