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
Shaken not stirred: a global research cocktail served in Hinxton.
PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups
Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process
-
Full-text index only
Filtering high-throughput protein-protein interaction data using a combination of genomic features.
PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.
-
Full-text index only
Identification and characterization of insect-specific proteins by genome data analysis.
PMID 17407609 · PMC1852559 · BMC genomics · 2007 · 8 claims · 7 setups
Comparative genome analysis across five holometabolous insects and three non-insect eukaryotes (opisthokonts) identifies 154 insect-specific orthologous groups (refined to 51 proteins) and 466 eukaryote/opisthokont-core orthologous groups
-
Full-text index only
A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.
PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups
Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate
-
Full-text index only
From microarrays to genome duplications.
PMID 12914655 · PMC193639 · Genome biology · 2003 · 8 claims · 8 setups
Gene3D shows that most genes across sequenced genomes can be assigned to known structural domain families, many of which are shared across kingdoms of life