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
Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
-
Full-text index only
CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.
PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups
CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.
-
Full-text index only
Linking disease-associated genes to regulatory networks via promoter organization.
PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups
Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks
-
Full-text index only
Exome sequencing identifies the cause of a mendelian disorder.
PMID 19915526 · PMC2847889 · Nature genetics · 2010 · 8 claims · 7 setups
Exome sequencing of a small number of unrelated affected individuals, combined with filtering against public SNP databases and HapMap exomes, is sufficient to identify the causal gene for a monogenic disorder of unknown etiology.