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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Accuracy of predicting the genetic risk of disease using a genome-wide approach.
PMID 18852893 · PMC2561058 · PloS one · 2008 · 8 claims · 4 setups
Deterministic equations can predict the accuracy (r_gĝ) of genome-wide genetic risk/value prediction for continuous, dichotomous, and case-control study designs.
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Identification of genomic regions contributing to etoposide-induced cytotoxicity.
PMID 19089452 · PMC2714550 · Human genetics · 2009 · 7 claims · 6 setups
Etoposide-induced cytotoxicity in CEPH lymphoblastoid cell lines is heritable, with genetics explaining 17-25% of variation
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Has reproduction · 85
PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies.
PMID 35338232 · PMC8956664 · Communications biology · 2022 · 8 claims · 8 setups
Two computational approaches (sub-sampling and phenotype-simulation) can be implemented to perform power calculations for bacterial GWAS using existing genome collections, packaged as the PowerBacGWAS pipeline
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Has reproduction
Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.
PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 8 claims · 6 setups
Selective linkage disequilibrium pruning (SLDP) refines whole-genome SNP sets using GWAS prior information to improve genomic prediction accuracy.
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Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.
PMID 38491422 · PMC10943865 · Genetics, selection, evolution : GSE · 2024 · 8 claims · 5 setups
The host genome's influence on the functional rumen microbiome contributes to temporal variation in average daily gain (ADG1-ADG4) across finishing months in beef cattle.