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 Korean family with Arg1448Cys mutation of SCN4A channel causing paramyotonia congenita: electrophysiologic, histopathologic, and molecular genetic studies.
PMID 12483017 · PMC3054970 · Journal of Korean medical science · 2002 · 7 claims · 5 setups
A missense mutation (Arg1448Cys, R1448C) in SCN4A causes paramyotonia congenita in this Korean family
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In vivo phosphoproteome of human skeletal muscle revealed by phosphopeptide enrichment and HPLC-ESI-MS/MS.
PMID 19764811 · PMC2783959 · Journal of proteome research · 2009 · 8 claims · 6 setups
This is the first large-scale in vivo phosphoproteomic study of human skeletal muscle
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Collagen VI glycine mutations: perturbed assembly and a spectrum of clinical severity.
PMID 18825676 · PMC2743946 · Annals of neurology · 2008 · 8 claims · 6 setups
All eight new patients had heterozygous glycine substitution mutations toward the N-terminal end of the collagen VI triple helix
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An original SERPINA3 gene cluster: elucidation of genomic organization and gene expression in the Bos taurus 21q24 region.
PMID 18384666 · PMC2373789 · BMC genomics · 2008 · 8 claims · 7 setups
The bovine genome contains a cluster of eight SERPINA3 genes and one pseudogene (SERPINA3P) sharing high sequence identity and identical structural organization
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Novel CLCN1 mutations and clinical features of Korean patients with myotonia congenita.
PMID 19949657 · PMC2775849 · Journal of Korean medical science · 2009 · 7 claims · 8 setups
Sequencing of CLCN1 in 10 unrelated Korean MC patients identified nine different point mutations, six of which are novel (p.M128I, p.S189C, p.M373L, p.P480S, p.G523D, p.M609K).
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.