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 · 85
Genomic regions and signaling pathways associated with indicator traits for feed efficiency in juvenile Atlantic salmon (Salmo salar).
PMID 33158415 · PMC7648306 · Genetics, selection, evolution : GSE · 2020 · 7 claims · 5 setups
A QTL for pre-smolt growth was identified on chromosome 9.
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Has reproduction · 85
Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP).
PMID 40676527 · PMC12273308 · Genetics, selection, evolution : GSE · 2025 · 7 claims · 6 setups
PCA effectively reduces RMC data dimensionality while preserving essential biological information, with microbiability from PCs explaining 100% of variation closely matching full-dataset estimates
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Application of machine learning in SNP discovery.
PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups
PolyBayes produces high false-positive SNP predictions even with stringent parameters
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Has reproduction · 87
Translation affects mRNA stability in a codon-dependent manner in human cells.
PMID 31012849 · PMC6529216 · eLife · 2019 · 8 claims · 8 setups
Translation strongly affects mRNA stability in a codon-dependent manner in human cells, with specific codons stabilizing or destabilizing mRNAs.
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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Approaching the genomics of risk-taking behavior.
PMID 20109660 · PMC3961474 · Advances in genetics · 2009 · 8 claims · 8 setups
Candidate genes (e.g., DRD4, SERT, MAOA) explain only a small fraction of total genetic variation in risk-taking-related behaviors, motivating a whole-genome approach.