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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A Statistical Framework for Measuring Reproducibility and Replicability of High-Throughput Experiments From Multiple Sources.
PMID 41636474 · PMC12871010 · Statistics in medicine · 2026 · 8 claims · 3 setups
nestedIDR, a nested copula mixture model, extends the IDR framework to multi-lab studies by jointly modeling within-lab reproducibility and between-lab replicability
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Has reproduction · 76
Transcriptional landscape of repetitive elements in normal and cancer human cells.
PMID 25012247 · PMC4122776 · BMC genomics · 2014 · 8 claims · 8 setups
RepEnrich, a computational method that uses all mapping reads (uniquely mapping plus multi-mapping reads assigned to repetitive element subfamily assemblies/pseudogenomes), quantifies genome-wide repetitive element enrichment
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Has reproduction · 77
Accurate chromatin marks peak calling with Omnipeak.
PMID 41521664 · PMC12784980 · Nucleic acids research · 2026 · 8 claims · 6 setups
Omnipeak is a universal unsupervised peak-calling algorithm based on a constrained three-state hidden Markov model (zero, noise, signal states)
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Predicting the effect of CRISPR-Cas9-based epigenome editing.
PMID 41524535 · PMC12795505 · eLife · 2026 · 8 claims · 6 setups
Machine learning (CNN and ridge regression) models trained on histone PTM ChIP-seq and RNA-seq data from 13 ENCODE cell types accurately predict endogenous gene expression, with transcriptome-wide correlations of ~0.70-0.79 for most cell types
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Detecting natural selection by empirical comparison to random regions of the genome.
PMID 19783549 · PMC2778377 · Human molecular genetics · 2009 · 8 claims · 5 setups
Comparing candidate loci to empirically matched random genomic regions (ENCODE data) avoids the strong demographic/mutation assumptions required by theoretical neutral models and provides a robust test for selection
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What can genome-wide association studies tell us about the genetics of common disease?
PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups
Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants
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Has reproduction · 88
AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.
PMID 27082953 · PMC4833304 · PLoS computational biology · 2016 · 7 claims · 6 setups
Sample-sample correlation of transcript abundances is a misleading measure of replicability for assessing differential expression, because it is dominated by gene-specific dynamic ranges rather than condition-dependent variation.