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 · 58
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data.
PMID 35899080 · PMC9310080 · NAR genomics and bioinformatics · 2022 · 8 claims · 4 setups
iCOMIC provides a GUI-driven, Snakemake-based pipeline integrating multiple tools for DNA-Seq and RNA-Seq analysis with minimal command-line interaction.
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The androgen receptor CAG repeat polymorphism and modification of breast cancer risk in BRCA1 and BRCA2 mutation carriers.
PMID 15743497 · PMC1064126 · Breast cancer research : BCR · 2005 · 7 claims · 5 setups
The AR CAG repeat polymorphism does not modify breast cancer risk in BRCA1 mutation carriers
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Population carrier frequency of hMSH2 and hMLH1 mutations.
PMID 11104559 · PMC2363440 · British journal of cancer · 2000 · 6 claims · 6 setups
Population carrier frequency of hMSH2/hMLH1 mutations in people aged 15-74 years is estimated at 1:3139 (95% CI 1:1247-1:7626)
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Web services and workflow management for biological resources.
PMID 16351751 · PMC1866383 · BMC bioinformatics · 2005 · 8 claims · 4 setups
Workflow management systems combined with Web Services are a promising ICT approach for automating access to and integration of biomedical data.
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Has reproduction · 64
Starvation-induced transgenerational inheritance of small RNAs in C. elegans.
PMID 25018105 · PMC4377509 · Cell · 2014 · 8 claims · 7 setups
L1 starvation induces changes in endogenous 22G small RNAs (STGs) that are inherited for at least three generations in fed descendants.
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Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering