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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Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.
PMID 18986552 · PMC2625353 · BMC systems biology · 2008 · 8 claims · 6 setups
Integrated WGCNA (IWGCNA), which adds genetic marker-based causality testing to standard WGCNA, can identify a disease-related module and its causal drivers
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Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.
PMID 15784611 · PMC1069129 · Nucleic acids research · 2005 · 7 claims · 8 setups
Position-specific phylogenetic features describing evolutionary conservation at a site (e.g. SIFT score, normalized site entropy, residue frequency change) are the best individual discriminators of disease-causing versus neutral GPCR mutations.
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The Genographic Project public participation mitochondrial DNA database.
PMID 17604454 · PMC1904368 · PLoS genetics · 2007 · 7 claims · 4 setups
The Genographic Project created the largest standardized human mtDNA database to date, comprising 78,590 genotypes from the first 18 months of public participation.
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MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.
PMID 19758471 · PMC2745589 · BMC bioinformatics · 2009 · 8 claims · 5 setups
MtSNPscore, a weighted scoring pipeline combining literature evidence, in silico predictions, and case/control frequency, can prioritize likely pathogenic mtDNA variations
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Has reproduction · 100
Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome.
PMID 34561431 · PMC8463674 · Nature communications · 2021 · 8 claims · 7 setups
revTWMR, a reverse transcriptome-wide Mendelian Randomization approach integrating GWAS and whole-blood trans-eQTL summary statistics, is proposed to estimate the causal effect of a phenotype on gene expression.