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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High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies.
PMID 16834767 · PMC1557740 · Breast cancer research : BCR · 2006 · 8 claims · 5 setups
Candidate polymorphism-based genetic epidemiological studies have yielded little success in identifying low-penetrance breast cancer susceptibility genes, largely due to poor genomic coverage and inadequate statistical power.
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Genes at human chromosome 5q31.1 regulate delayed-type hypersensitivity responses associated with Leishmania chagasi infection.
PMID 17713557 · PMC2435172 · Genes and immunity · 2007 · 7 claims · 8 setups
SNPs in LECT2 and TGFBI show independent associations with the DTH+ phenotype, indicating two separate genes in this region control DTH+
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Mass spectrometry-based biomarker discovery: toward a global proteome index of individuality.
PMID 20636062 · PMC3140421 · Annual review of analytical chemistry (Palo Alto, Calif.) · 2009 · 8 claims · 4 setups
Very few large-scale longitudinal MS-based proteomics studies have been performed to establish analytical variability relative to true biological variability.
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In silico and in vitro comparative analysis to select, validate and test SNPs for human identification.
PMID 18076761 · PMC2222643 · BMC genomics · 2007 · 8 claims · 7 setups
A panel of 24 SNPs was selected and validated for human identification using 1,040 unrelated samples from three populations (Italian, Benin Gulf, Mongolian)
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'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.
PMID 20001958 · PMC3022307 · The Biochemical journal · 2009 · 8 claims · 8 setups
Comparative genomics is the single most effective strategy for predicting functions of unknown proteins and finding genes for orphan enzymes