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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Has reproduction · 100
Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
PMID 35191485 · PMC9048691 · Bioinformatics (Oxford, England) · 2022 · 7 claims · 3 setups
TDA summary statistics can be combined with ABC to infer parameters (ρ, χ) of the Anderson–Chaplain angiogenesis model
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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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A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.
PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)
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Has reproduction · 83
Macrel: antimicrobial peptide screening in genomes and metagenomes.
PMID 33384902 · PMC7751412 · PeerJ · 2020 · 8 claims · 8 setups
Macrel is an end-to-end pipeline that predicts high-quality AMP candidates from peptides, contigs, or reads of (meta)genomes
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Calibrating the performance of SNP arrays for whole-genome association studies.
PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups
Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.