bioRxivMicrobiologyPreprint
In Silico Prediction and Comparison of Resistomes in Model Pseudomonas Strains by Resistance Gene Identifier (RGI)
Abstract
Withdrawal StatementThis manuscript has been removed owing to an apparent copyright violation resulting from a fraudulent submission.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
Similarity Map
SelectedSame fieldCross-field
53% semantic matchBioinformatics
- Increasing the predictive accuracy of the Resistance Gene Identifier by evaluating antimicrobial resistance gene over- and underprediction
Karyn M Mukiri, Brian P. Alcock, … Andrew G. McArthur·bioRxiv·Dec 15, 2025
- Changes to the resistome of Pseudomonas aeruginosa clone ST308 associated with corneal infection over time
M. Khan, M. D. P. Willcox, … F. Stapleton·bioRxiv·Apr 10, 2020
- Molecular Detection of H.pylori Antibiotic-Resistant Genes and Bioinformatics Predictive Analysis
Dan Wang, Qianqian Guo, … Yuehua Gong·bioRxiv·May 18, 2018
- Reads2Resistome: An adaptable and high-throughput whole-genome sequencing pipeline for bacterial resistome characterization
Reed Woyda, Adelumola Oladeinde, Zaid Abdo·bioRxiv·May 18, 2020
- The Resistome: updating a standardized resource for analyzing resistance phenotypes
Julia Winkler·bioRxiv·Sep 17, 2018
- Genome-Wide in silico analysis reveals activation of a silent resistome driving imipenem resistance in Pseudomonas aeruginosa
Sarfraz Anwar, A R Aromal, … Sintu Kumar Samanta·bioRxiv·Aug 29, 2026