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).

• AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.

  PMID 41792137 · PMC13087051 · Nature communications · 2026 · 7 claims · 8 setups

  Full-text index only

  AMR-GNN, a graph neural network integrating multiple genomic representations (unitigs, SNPs, FCGR) via low-rank multimodal fusion, improves AMR phenotype prediction in P. aeruginosa compared to single-representation baseline models.

  pseudomonas aeruginosa escherichia coli whole-genome elastic convolutional

• 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

  Has reproduction · 87

  A custom sequence capture probe set (9678 baits targeting 1061 orthologous genes) was designed to enrich COS loci across the Compositae.

  compositae same species helianthus targeted genome genomic