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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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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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.
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Has reproduction · 59
Comparing time series transcriptome data between plants using a network module finding algorithm.
PMID 31164912 · PMC6544932 · Plant methods · 2019 · 8 claims · 6 setups
Converting gene expression patterns into co-expression networks and applying a cross-species network module finding algorithm (OrthoClust with simulated annealing) solves the problem of matching developmental stages between two species without requiring one-to-one stage mapping.
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Has reproduction · 87
High-resolution mapping of transcriptional dynamics across tissue development reveals a stable mRNA-tRNA interface.
PMID 25122613 · PMC4216921 · Genome research · 2014 · 8 claims · 7 setups
mRNA codon and amino acid pools are highly stable across mouse development and across tissues, simply reflecting the genomic background distribution of any possible transcriptome.
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Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.
PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups
The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).