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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Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studies.
PMID 17610740 · PMC1925094 · BMC genomics · 2007 · 8 claims · 5 setups
SNP-MaP can be effectively applied to the Affymetrix 500K GeneChip, providing a cost-effective, reliable and valid initial genomewide screen
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Evolutionary distance estimation and fidelity of pair wise sequence alignment.
PMID 15840174 · PMC1087827 · BMC bioinformatics · 2005 · 8 claims · 8 setups
Evolutionary distance estimation is relatively unaffected by alignment error as long as 50% or more of homologous sites remain identical between sequences
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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
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Insights into the coupling of duplication events and macroevolution from an age profile of animal transmembrane gene families.
PMID 16895434 · PMC1534073 · PLoS computational biology · 2006 · 8 claims · 7 setups
The density of transmembrane gene duplicates positively correlates with the estimated maximum number of cell types of common ancestors
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups
Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.