Video Experimental Relacionado

Updated: Feb 20, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

cAMRah: un flujo de trabajo escalable y portátil para la predicción armonizada de genes de resistencia a los

Daniella L Matute¹, Thomas H Clarke¹, Andrew R LaPointe¹

¹J. Craig Venter Institute, Rockville, MD 20850, United States.

Bioinformatics advances

|February 19, 2026

Abstracto

Summary:

cAMRah is a curated workflow designed to predict antimicrobial resistance (AMR) genes in microbial genomes, either in the cloud or on any personal computer running Docker containers. Numerous AMR gene-finding packages exist, each utilizing different algorithms and prediction methods. cAMRah adopts a consensus-based approach to AMR prediction, recognizing that no single tool can identify all AMR genes. It integrates and runs six AMR-finder tools and databases (with plans for future expansion), scores the AMR predictions, maps all results to CDS coordinates and harmonizes the annotation, resulting in consistent gene symbols and ontologies.

Availability And Implementation:

Source code, demo data and detailed documentation are freely available at https://github.com/JCVenterInstitute/CAMRA.

Palabras clave:

resistencia a los antimicrobianos predicción de genes genómica bacteriana flujo de trabajo bioinformático armonización de anotaciones

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