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 · 84
Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group.
PMID 35883324 · PMC9312300 · Animals : an open access journal from MDPI · 2022 · 7 claims · 6 setups
Gut microbial diversity (alpha and beta) differs significantly among domestic males, domestic females, and wild male Datong yaks.
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Has reproduction · 57
Environmental selection overturns the decay relationship of soil prokaryotic community over geographic distance across grassland biotas.
PMID 35073255 · PMC8828049 · eLife · 2022 · 8 claims · 7 setups
Prokaryotic community similarity follows a significant U-shape relationship over geographic distance up to 4000 km, decreasing within biotas but increasing across biotas after a tipping point of 1760-1920 km
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Full-text index only
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE).
PMID 15339345 · PMC517707 · BMC bioinformatics · 2004 · 7 claims · 5 setups
A Bayesian mixture model is proposed to account for within-class biological variability in SAGE/Digital-Northern/MPSS tag counting data.
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Full-text index only
PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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Has reproduction · 68
Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing.
PMID 31443728 · PMC6708158 · Genome medicine · 2019 · 6 claims · 8 setups
A near-perfect chronological age predictor can in principle be developed from DNA methylation when training sample size is sufficiently large.