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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Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.
PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups
Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.
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MODBASE: a database of annotated comparative protein structure models and associated resources.
PMID 16381869 · PMC1347422 · Nucleic acids research · 2006 · 8 claims · 7 setups
MODBASE is a database of automatically calculated comparative protein structure models covering all UniProt sequences matchable to a known structure
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MitoP2: the mitochondrial proteome database--now including mouse data.
PMID 16381964 · PMC1347489 · Nucleic acids research · 2006 · 8 claims · 8 setups
MitoP2 is a database integrating manually annotated mitochondrial reference proteins, functions, and disease associations for yeast, human, and mouse, with cross-species orthologue mapping
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Decision tree-driven tandem mass spectrometry for shotgun proteomics.
PMID 18931669 · PMC2597439 · Nature methods · 2008 · 8 claims · 5 setups
A decision tree (DT) algorithm that selects CAD or ETD per precursor based on z and m/z yields more peptide identifications than either CAD or ETD alone
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Identification of mitochondrial disease genes through integrative analysis of multiple datasets.
PMID 18930150 · PMC2774125 · Methods (San Diego, Calif.) · 2008 · 8 claims · 8 setups
Data integration of multiple functional genomics datasets effectively predicts mitochondrial gene function and prioritizes candidate mitochondrial disease genes.
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Defining the proteome.
PMID 16356278 · PMC1414090 · Genome biology · 2005 · 8 claims · 8 setups
Integration of multi-omics data is an important step toward a systems-biology approach to the proteome
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Comparing protein abundance and mRNA expression levels on a genomic scale.
PMID 12952525 · PMC193646 · Genome biology · 2003 · 8 claims · 8 setups
Correlations between mRNA expression and protein abundance are generally poor or limited across most studies reviewed, including in yeast and human cancers
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From genomes to systems.
PMID 15535877 · PMC545775 · Genome biology · 2004 · 8 claims · 8 setups
Biological networks (protein-gene interactions in the genome, protein-protein interactions in the proteome, biochemical reactions in the metabolome) are scale-free rather than random