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).

• BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies.

  PMID 41896736 · PMC13147680 · BMC microbiology · 2026 · 7 claims · 8 setups

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  BaGPipe is an automated, reproducible Nextflow pipeline that integrates pre-processing, Pyseer-based association analysis, and downstream visualisation into a unified bacterial GWAS workflow

  streptococcus staphylococcus aureus pneumoniae bacterial read amr

• Genome modelling and design across all domains of life with Evo 2.

  PMID 41781614 · PMC13128491 · Nature · 2026 · 8 claims · 8 setups

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  Evo 2 accurately predicts functional impacts of genetic variation, from noncoding pathogenic mutations to clinically significant BRCA1 variants, without task-specific fine-tuning

  gene prokaryotic species proteins zero-shot mutational stop

• Unraveling Cefiderocol Resistance in NDM- and OXA-48-like Co-Producing Klebsiella pneumoniae Isolates Through Integrated Genomic and Phenotypic Analysis.

  PMID 42192735 · PMC13203471 · Antibiotics (Basel, Switzerland) · 2026 · 8 claims · 6 setups

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  K. pneumoniae isolates co-producing NDM and OXA-48-like carbapenemases are predominantly clonal, belonging to the high-risk ST147 lineage.

  clinical study cefiderocol-resistant antimicrobial whole-genome core

• PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies.

  PMID 35338232 · PMC8956664 · Communications biology · 2022 · 8 claims · 8 setups

  Has reproduction · 85

  Two computational approaches (sub-sampling and phenotype-simulation) can be implemented to perform power calculations for bacterial GWAS using existing genome collections, packaged as the PowerBacGWAS pipeline

  enterococcus klebsiella mycobacterium faecium pan-genome burden variant

• 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

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  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