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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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
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.
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MILANO--custom annotation of microarray results using automatic literature searches.
PMID 15661078 · PMC547913 · BMC bioinformatics · 2005 · 7 claims · 4 setups
MILANO annotates microarray gene lists by counting literature co-occurrences of each gene with user-defined secondary terms
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Function2Gene: a gene selection tool to increase the power of genetic association studies by utilizing public databases and expert knowledge.
PMID 18631403 · PMC2500032 · BMC bioinformatics · 2008 · 6 claims · 5 setups
Function2Gene is a set of Perl programs that queries public databases (NCBI, GeneCards, Harvester, with Uniprot/Ensembl also supported) using expert-selected keywords to rank genes by prior probability of disease association.