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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Genetical genomic determinants of alcohol consumption in rats and humans.
PMID 19874574 · PMC2777866 · BMC biology · 2009 · 8 claims · 6 setups
A genetical genomics approach combining brain gene expression, bQTL, and eQTL analysis in HXB/BXH RI rats identifies candidate genes for alcohol consumption
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Integrative transcriptome-wide association analyses reveal PRKCG-linked GABAergic dysfunction in Fragile X-associated tremor/ataxia syndrome.
PMID 41507195 · PMC12881518 · Nature communications · 2026 · 8 claims · 8 setups
A multi-omics strategy combined with TWAS reveals brain-region-specific molecular signatures and striking gene dysregulation concentrated in inhibitory neurons in an FXTAS mouse model.
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Variant-resolved prediction of context-specific isoform variation with a graph-based attention model.
PMID 41547351 · PMC13069856 · Cell genomics · 2026 · 8 claims · 8 setups
Otari, an attention-based graph neural network trained on long-read transcriptomes across 30 tissues/brain regions, predicts tissue-specific differential isoform abundance
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Has reproduction
Empowering integrative and collaborative exploration of single-cell and spatial multimodal data with SGS genome browser.
PMID 40233745 · PMC12143324 · Cell genomics · 2025 · 8 claims · 6 setups
SGS is a user-friendly, collaborative, versatile browser for integrative visualization of single-cell and spatial multimodal (scMulti-omics) data
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UBD: incorporating uncertainty in cell type proportion estimates from bulk samples to infer cell-type-specific profiles.
PMID 41520227 · PMC12895075 · Briefings in bioinformatics · 2026 · 7 claims · 4 setups
Existing CTS deconvolution methods (e.g., CIBERSORTx, TCA, bMIND, CellDMC, HBI) require cell type proportions that are in practice only estimated, not known, introducing unaccounted uncertainty into CTS inference.
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Deep-learning prediction of gene expression from personal genomes.
PMID 41495833 · PMC12869966 · Genome biology · 2026 · 8 claims · 8 setups
Fine-tuning Enformer on paired personal WGS and RNA-seq data (Variformer) corrects Enformer's failure to predict inter-individual gene expression differences across held-out people.