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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COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.
PMID 19906727 · PMC2808858 · Nucleic acids research · 2010 · 8 claims · 6 setups
COSMIC is the largest public resource for information on somatically acquired mutations in human cancer, freely available without restriction
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Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.
PMID 19005564 · PMC2579325 · PloS one · 2008 · 8 claims · 7 setups
Doublet mutations are significantly more frequent in EGFR (6.0%) and TP53 (2.3%) in human lung cancer than spontaneous doublets in mouse lacI (0.7%), about 8-fold and 3-fold higher respectively.
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Increased frequency of the k-ras G12C mutation in MYH polyposis colorectal adenomas.
PMID 15083190 · PMC2410274 · British journal of cancer · 2004 · 8 claims · 2 setups
Somatic k-ras mutations occur in 9 of 54 (16.7%) MYH polyposis colorectal tumours, with frequency increasing with degree of dysplasia.
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Aberrant 5' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization.
PMID 17576681 · PMC1934990 · Nucleic acids research · 2007 · 8 claims · 4 setups
Cryptic 5'ss are best predicted by computational algorithms that accommodate nucleotide dependencies (e.g., Markov model, maximum entropy, maximum dependence decomposition) rather than by weight-matrix models
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design