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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A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.
PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)
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A metadata approach for clinical data management in translational genomics studies in breast cancer.
PMID 19948017 · PMC3225860 · BMC medical genomics · 2009 · 8 claims · 5 setups
A metadata/CDE-based approach using CancerGrid's semantic web tools enables automatic integration of heterogeneous clinical datasets without loss of original detail
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Autoantibody profiling for the study and treatment of autoimmune disease.
PMID 12223102 · PMC128938 · Arthritis research · 2002 · 8 claims · 8 setups
Custom-fabricated antigen microarrays (spotted on poly-L-lysine-coated glass slides) enable multiplex profiling of autoantibody responses in autoimmune disease sera.
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Paired-end mapping reveals extensive structural variation in the human genome.
PMID 17901297 · PMC2674581 · Science (New York, N.Y.) · 2007 · 8 claims · 8 setups
Paired-end mapping (PEM) combining 3-kb fragment paired-end capture, massive 454 sequencing, and computational mapping detects SVs ~3 kb or larger with an average breakpoint resolution of 644 bp
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Detecting imbalanced expression of SNP alleles by minisequencing on microarrays.
PMID 15500681 · PMC529269 · BMC biotechnology · 2004 · 8 claims · 7 setups
Both microarray minisequencing formats accurately quantify SNP allele ratios, with R2 > 0.95 for the majority of regression lines