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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Genome bioinformatic analysis of nonsynonymous SNPs.
PMID 17708757 · PMC1978506 · BMC bioinformatics · 2007 · 8 claims · 8 setups
Structure- and sequence-based prediction tools can generally distinguish disease-causing mutations from neutral ones
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Functional analysis of novel SNPs and mutations in human and mouse genomes.
PMID 19091009 · PMC2638150 · BMC bioinformatics · 2008 · 8 claims · 7 setups
FANS streamlines functional analysis of novel SNPs and mutations into a simplified, few-click, four-step procedure.
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From single cells to whole organisms.
PMID 16420683 · PMC1414103 · Genome biology · 2005 · 8 claims · 8 setups
The genetic-interaction map in S. cerevisiae is roughly four times as complex as the protein-protein interaction map, and genetic interactions do not overlap with physical interactions but instead predict functional neighborhoods
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The Universal Protein Resource (UniProt) in 2010.
PMID 19843607 · PMC2808944 · Nucleic acids research · 2010 · 8 claims · 5 setups
UniProt is a centralized, freely accessible, comprehensive knowledgebase of protein sequence and functional annotation maintained by the EBI, SIB and PIR consortium.
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Linking disease-associated genes to regulatory networks via promoter organization.
PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups
Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks
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Has reproduction · 60
Deconvolution of the hematopoietic stem cell microenvironment reveals a high degree of specialization and conservation.
PMID 35494238 · PMC9046238 · iScience · 2022 · 8 claims · 6 setups
A customized bootstrapping/random-forest divide-and-conquer clustering pipeline integrating three scRNA-seq datasets robustly resolves cell states despite high cell-to-cell similarity within compartments