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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Human-zebrafish non-coding conserved elements act in vivo to regulate transcription.
PMID 16179648 · PMC1236720 · Nucleic acids research · 2005 · 8 claims · 4 setups
Deeply conserved human-zebrafish non-coding elements are enriched for in vivo cis-acting transcriptional regulatory activity.
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Steps toward broad-spectrum therapeutics: discovering virulence-associated genes present in diverse human pathogens.
PMID 19874620 · PMC2774872 · BMC genomics · 2009 · 8 claims · 8 setups
Phylogenetic profiling of protein clusters across pathogen and non-pathogen genomes can identify candidate generic virulence factors
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The distribution of SNPs in human gene regulatory regions.
PMID 16209714 · PMC1260019 · BMC genomics · 2005 · 8 claims · 6 setups
SNPs occur with higher density closer to the transcriptional start site within gene promoter regions than in further upstream regions
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Predicting failure rate of PCR in large genomes.
PMID 18492719 · PMC2441781 · Nucleic acids research · 2008 · 7 claims · 8 setups
The number of predicted primer-binding sites in genomic DNA is the most important factor determining PCR failure.
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Prodepth: predict residue depth by support vector regression approach from protein sequences only.
PMID 19759917 · PMC2742725 · PloS one · 2009 · 8 claims · 8 setups
Residue depth can be reliably predicted solely from protein primary sequence using support vector regression on sequence-derived features.
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Has reproduction · 53
Combining evidence of preferential gene-tissue relationships from multiple sources.
PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups
A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.
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The evolution and genomic landscape of CGB1 and CGB2 genes.
PMID 17055150 · PMC2599907 · Molecular and cellular endocrinology · 2007 · 8 claims · 5 setups
CGB1 and CGB2 arose via insertion of a DNA fragment (736/724 bp) replacing part of the ancestral hCGβ promoter and 5'-UTR, creating a novel exon 1 and causing a frameshift that produces a completely different 132-aa protein unrelated to hCGβ