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

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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

• pmid-41896736

  PMID 41896736 · PMC13147680 · 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

• 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

• rMAP 2.0: a modular, reproducible, and scalable WDL-Cromwell-Docker workflow for genomic analysis of ESKAPEE pathogens.

  PMID 41782684 · PMC12955837 · Bioinformatics advances · 2026 · 8 claims · 8 setups

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  rMAP 2.0 standardizes end-to-end bacterial WGS analysis (QC, trimming, assembly, annotation, AMR/virulence/mobile-element profiling, sequence typing, pangenome inference, phylogenetics) via containerized WDL/Cromwell execution

  enterobacterales illumina aeruginosa pneumoniae whole-genome wgs amr

• Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data.

  PMID 32528441 · PMC7262952 · Frontiers in microbiology · 2020 · 8 claims · 5 setups

  Has reproduction · 100

  WGS-derived antibiotic resistance gene (ARG) coverage can be used to predict antimicrobial resistance in Gram-negative bacteria via machine learning

  gram-negative in-house args curated shotgun genome phenotypic