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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Ensembl 2005.
PMID 15608235 · PMC540092 · Nucleic acids research · 2005 · 8 claims · 4 setups
Ensembl's automatic gene build system can flexibly and reliably annotate a wide variety of genomes with limited species-specific evidence.
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Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes
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BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.
PMID 17202167 · PMC1899097 · Nucleic acids research · 2007 · 7 claims · 6 setups
BRENDA is the largest publicly available enzyme information system worldwide, manually curated from primary literature and covering all identified enzymes regardless of source.
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.
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GENCODE: producing a reference annotation for ENCODE.
PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups
GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions
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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