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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Integration of text- and data-mining using ontologies successfully selects disease gene candidates.
PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups
Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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Biased exon/intron distribution of cryptic and de novo 3' splice sites.
PMID 16141195 · PMC1197134 · Nucleic acids research · 2005 · 7 claims · 5 setups
Cryptic 3'ss (from 3'YAG consensus mutations) are significantly more frequent in exons than in introns
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Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.
PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups
Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments
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Has reproduction · 67
GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure.
PMID 35501696 · PMC9063052 · BMC bioinformatics · 2022 · 6 claims · 3 setups
GEMmaker, an nf-core compliant Nextflow workflow, can quantify gene expression from small to massive RNA-seq datasets while remaining reproducible via versioned containerized software.
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes