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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Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues.
PMID 18416831 · PMC2377273 · BMC cancer · 2008 · 6 claims · 4 setups
Three protein spots were significantly altered in abundance between metastase-positive and metastase-negative breast cancer patient groups
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Has reproduction · 89
Phenotypic and Genotypic Characteristics of Shiga Toxin-Producing Escherichia coli Isolated from Surface Waters and Sediments in a Canadian Urban-Agricultural Landscape.
PMID 27092297 · PMC4820441 · Frontiers in cellular and infection microbiology · 2016 · 7 claims · 7 setups
STEC are prevalent in surface waters of four Lower Mainland BC watersheds, recovered from 21.6, 23.2, 19.5, and 9.2% of samples across sites, with seasonal variation (13.3% in fall to 34.3% in winter).
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High throughput sequencing and proteomics to identify immunogenic proteins of a new pathogen: the dirty genome approach.
PMID 20037647 · PMC2793016 · PloS one · 2009 · 7 claims · 7 setups
A dirty genome approach using unfinished, unclosed genome sequences combined with proteomics can rapidly identify immunogenic proteins useful for diagnostic tool development
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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.