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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Isolated populations and complex disease gene identification.
PMID 18771588 · PMC2575505 · Genome biology · 2008 · 8 claims · 5 setups
Isolated/founder populations are useful for identifying genes underlying common complex diseases, not just rare monogenic diseases.
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Toxicogenomics research consortium sails into uncharted waters.
PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups
The NIEHS-funded $37 million Toxicogenomics Research Consortium (TRC) combines the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to define genetic variability, set gene expression standards, and study environmental stress responses.
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A cell biological perspective on genome research.
PMID 8522596 · PMC2120688 · The Journal of cell biology · 1995 · 7 claims · 7 setups
Genome sequencing represents a sixth stage in the historical progression of structural biology (comparative anatomy through crystallography), and will be similarly valuable once related to function.
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
PMID 19936259 · PMC2775948 · PloS one · 2009 · 8 claims · 8 setups
Integrated proteomic analysis of a cancer mouse model and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.