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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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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Has reproduction · 81
Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.
PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups
A Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems
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Protein interaction networks by proteome peptide scanning.
PMID 14737190 · PMC314469 · PLoS biology · 2004 · 8 claims · 7 setups
WISE (combining phage display-derived relaxed consensus patterns with SPOT peptide synthesis arrays) can identify proteome-wide binding partners of a peptide-recognition domain
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Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.
PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups
Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.
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A cell biological perspective on genome research.
PMID 8522596 · PMC2120688 · The Journal of cell biology · 1995 · 7 claims · 7 setups
Genome sequencing represents a sixth stage in the historical progression of structural biology (comparative anatomy through crystallography), and will be similarly valuable once related to function.
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Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.
PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups
A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.
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Bacteriophage Mu integration in yeast and mammalian genomes.
PMID 18953026 · PMC2602771 · Nucleic acids research · 2008 · 8 claims · 8 setups
In vitro-assembled Mu transpososomes, delivered by electroporation, efficiently integrate marker genes into yeast, mouse ES, human HeLa, and human ES cell genomes
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"Reverse ecology" and the power of population genomics.
PMID 18752601 · PMC2626434 · Evolution; international journal of organic evolution · 2008 · 8 claims · 7 setups
Population genomic data can be used to rapidly identify genes targeted by adaptive natural selection, an approach termed 'reverse ecology'.
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A global definition of expression context is conserved between orthologs, but does not correlate with sequence conservation.
PMID 16423292 · PMC1382217 · BMC genomics · 2006 · 7 claims · 6 setups
Expression context is largely conserved between orthologs across four eukaryote species.
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Filling gaps in PPAR-alpha signaling through comparative nutrigenomics analysis.
PMID 20003344 · PMC2801700 · BMC genomics · 2009 · 7 claims · 8 setups
Meta-analysis of 16 microarray datasets across human, mouse, rat and yeast identifies 164 genes (MDEGs) consistently differentially expressed in response to high fat diet or PPAR signaling perturbation.