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).
-
Full-text index only
cDNA sequencing improves the detection of P53 missense mutations in colorectal cancer.
PMID 19671129 · PMC2731783 · BMC cancer · 2009 · 8 claims · 6 setups
cDNA sequencing detects P53 missense mutations in colorectal cancer more frequently and reliably than DNA sequencing
-
Full-text index only
Genome-scale approaches to the epigenetics of common human disease.
PMID 19844740 · PMC3107986 · Virchows Archiv : an international journal of pathology · 2010 · 7 claims · 8 setups
DNA methylation is a stable, mitotically heritable epigenetic mark faithfully propagated by DNMT1 acting on hemimethylated DNA during replication
-
Full-text index only
Molecular cloning, genomic characterization and over-expression of a novel gene, XRRA1, identified from human colorectal cancer cell HCT116Clone2_XRR and macaque testis.
PMID 12908878 · PMC194569 · BMC genomics · 2003 · 8 claims · 7 setups
XRRA1 is a novel gene down-regulated ~2-fold in XR-resistant HCT116 Clone2_XRR relative to HCT116 Clone10, identified via cDNA microarray
-
Full-text index only
Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
-
Full-text index only
Managing incidental findings in human subjects research: analysis and recommendations.
PMID 18547191 · PMC2575242 · The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2008 · 8 claims · 5 setups
Little guidance currently exists on managing research IFs, and no consensus exists on the best approach across genetic/genomic and imaging research domains.