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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CROPPER: a metagene creator resource for cross-platform and cross-species compendium studies.
PMID 16995941 · PMC1592126 · BMC bioinformatics · 2006 · 7 claims · 5 setups
CROPPER is a web-based software resource that combines genomic data from heterogeneous sources using identifier and orthologous gene information from the Ensembl database.
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MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs
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Similarities and differences in genome-wide expression data of six organisms.
PMID 14737187 · PMC300882 · PLoS biology · 2004 · 8 claims · 8 setups
Coexpression of functionally related genes is frequently conserved across evolutionarily distant organisms
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pTARGET: a web server for predicting protein subcellular localization.
PMID 16844995 · PMC1538910 · Nucleic acids research · 2006 · 7 claims · 3 setups
pTARGET web server predicts nine distinct subcellular localizations in eukaryotic non-plant proteins using an algorithm based on location-specific Pfam domain occurrence patterns and amino acid composition (AAC)
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Computational verification of protein-protein interactions by orthologous co-expression.
PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design