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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Has reproduction · 100
Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.
PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups
Exploratory adaptation (stochastic gene-regulatory network perturbation) explains how GBM cells adapt phenotypically across spatially distinct tumor regions
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Has reproduction · 84
An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis.
PMID 36352408 · PMC9648005 · BMC biology · 2022 · 7 claims · 5 setups
A signal transduction/gene regulatory network model of the articular chondrocyte was built combining knowledge-based curation and data-driven (machine learning) network inference
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Ensembl 2006.
PMID 16381931 · PMC1347495 · Nucleic acids research · 2006 · 8 claims · 5 setups
Ensembl now provides annotation for 19 genomes, up from 4 the previous year, including new mammalian (Rhesus macaque, Opossum), chordate (Ciona intestinalis), and yeast genomes.
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3D-super-enhancers are condensate-associated cis-regulatory communities.
PMID 41797539 · PMC12968393 · Nucleic acids research · 2026 · 8 claims · 8 setups
BOUQUET integrates genome topology, chromatin occupancy, and graph theory (label propagation) to assign CREs and transcription protein machinery to target genes and identify protein-rich 'communities' associated with condensates.
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Operon information improves gene expression estimation for cDNA microarrays.
PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups
A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.