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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Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.
PMID 16026601 · PMC1637030 · BMC bioinformatics · 2005 · 8 claims · 2 setups
DF-SNPs, a novel adaptation of the Decision Forest method, can classify esophageal cancer cases vs. controls based on SNP genotype data with high concordance, sensitivity, and specificity.
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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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Development of an integrated genome informatics, data management and workflow infrastructure: a toolbox for the study of complex disease genetics.
PMID 15601538 · PMC3525068 · Human genomics · 2004 · 8 claims · 8 setups
An integrated system combining Ensembl, ACeDB, Gbrowse and custom relational databases provides a scalable genome informatics and workflow infrastructure for complex disease gene discovery.
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Integrative annotation of 21,037 human genes validated by full-length cDNA clones.
PMID 15103394 · PMC393292 · PLoS biology · 2004 · 8 claims · 5 setups
41,118 full-length human cDNAs from six high-throughput sequencing projects were exhaustively integratively characterized
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Understanding genetic epidemiologic association studies Part 1: fundamentals.
PMID 19962167 · PMC2843757 · Surgery · 2010 · 8 claims · 3 setups
Genetic epidemiology aims to establish whether a disease has a genetic component while accounting for environmental influences.