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).

• Distinguishing benign from pathogenic duplications involving GPR101 and VGLL1-adjacent enhancers in the clinical setting with the bioinformatic tool POSTRE.

  PMID 41540017 · PMC12890961 · NPJ genomic medicine · 2026 · 6 claims · 7 setups

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  POSTRE correctly classified all 34 GPR101-associated duplications (27 pathogenic X-LAG, 7 non-pathogenic) as pathogenic or benign

  anterior embryonic patient-derived genome h3k27ac atac-seq rna-seq

• A novel optineurin genetic mutation associated with open-angle glaucoma in a Chinese family.

  PMID 19710941 · PMC2730747 · Molecular vision · 2009 · 8 claims · 3 setups

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  A novel missense mutation A1274G (Lys322Glu) in exon 10 of OPTN was identified in affected members of the family

  family peripheral patients microsatellite pcr clinical

• Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.

  PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups

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  GARDEN identifies and characterizes rare pathogenic cell populations/regions in spatial omics by embedding graph-based dynamic attention into a spatially-aware graph fusion contrastive model

  breast anterior brain olfactory 10x starmap slide-seqv2

• Ordinal-level phylogenomics of the arthropod class Diplopoda (millipedes) based on an analysis of 221 nuclear protein-coding loci generated using next-generation sequence analyses.

  PMID 24236165 · PMC3827447 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 82

  An ordinal-level phylogeny of Diplopoda reconstructed from 221 nuclear protein-coding loci (61,641 aligned amino acid columns) differs from existing classifications in fundamental ways.

  exemplar paired-end cleaned assembled transcriptome read novo

• DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

  PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups

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  DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets

  heart cortex visual brain spatial cell-type