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 · 63
Comparative transcriptome analysis of tomato (Solanum lycopersicum) in response to exogenous abscisic acid.
PMID 24289302 · PMC4046761 · BMC genomics · 2013 · 8 claims · 7 setups
Exogenous ABA alters the expression of a majority (54.73%) of expressed tomato leaf transcripts, with 2,787 significantly differentially expressed genes, predominantly up-regulated.
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Full-text index only
Evaluation of multiple displacement amplification in a 5 cM STR genome-wide scan.
PMID 16055919 · PMC1182175 · Nucleic acids research · 2005 · 7 claims · 5 setups
MDA genotyping call rates and accuracy are only marginally lower than for genomic DNA
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Has reproduction · 87
A target enrichment method for gathering phylogenetic information from hundreds of loci: An example from the Compositae.
PMID 25202605 · PMC4103609 · Applications in plant sciences · 2014 · 8 claims · 8 setups
A custom sequence capture probe set (9678 baits targeting 1061 orthologous genes) was designed to enrich COS loci across the Compositae.
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Has reproduction · 87
Enhanced Generalizability of RNA Secondary Structure Prediction via Convolutional Block Attention Network and Ensemble Learning.
PMID 40871599 · PMC12388828 · Molecules (Basel, Switzerland) · 2025 · 8 claims · 8 setups
TrioFold integrates base-pairing clues from thermodynamic- and DL-based methods via ensemble learning and a convolutional block attention mechanism to enhance RSS prediction generalizability.
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Has reproduction · 78
Requirements for Pseudomonas aeruginosa acute burn and chronic surgical wound infection.
PMID 25057820 · PMC4109851 · PLoS genetics · 2014 · 8 claims · 8 setups
In vivo gene expression is generally not correlated with a gene's importance for fitness, with the exception of metabolic genes, for which differential expression is more predictive of fitness.