PHARE
PHARE identifies and profiles Plasmodium falciparum haplotypes carrying resistance mutations within polyclonal infections using Oxford Nanopore Technologies MinION long-read sequencing for compositional profiling.
Key Features:
- Haplotype identification: Identifies and characterizes haplotypes carrying resistance mutations within polyclonal P. falciparum samples.
- Long-read sequencing (MinION): Developed for data generated by Oxford Nanopore Technologies MinION long-read sequencing.
- Integration of tools and scripts: Combines established bioinformatics tools with bespoke Python scripts for computational analysis.
- High recall and accuracy: Demonstrated high recall and accuracy across control datasets, including mixtures of four laboratory strains at varying ratios.
- Versatility across genes: Applicable to any gene and validated with amplicons of pfdhps, pfdhfr, and pfK13.
- Clinical validation: Validated on clinical samples from children in the Central African Republic.
Scientific Applications:
- Detection and tracking of drug-resistant clones: Enables detection and tracking of drug-resistant P. falciparum clones within multiclonal infections in endemic areas.
- Informing treatment recommendations: Provides haplotype-level resistance profiles that can inform treatment decision-making.
- Surveillance of multiclonal infections: Supports surveillance and monitoring of resistance allele frequencies and compositional changes in clinical and field samples.
Methodology:
Sequencing was performed using Oxford Nanopore Technologies MinION long-read sequencing followed by computational analysis that combines established bioinformatics tools and bespoke Python scripts to identify and compositionally profile multiple parasite clones and their resistance haplotypes.
Topics
Details
- License:
- LGPL-3.0
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 6/18/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Hosch S, Wagner P, Giger JN, Dubach N, Saavedra E, Perno CF, Gody J, Pagonendji MS, Ngoagouni C, Ndoua C, Nsanzabana C, Vickos U, Daubenberger C, Schindler T. PHARE: a bioinformatics pipeline for compositional profiling of multiclonal <i>Plasmodium falciparum</i> infections from long-read Nanopore sequencing data. Journal of Antimicrobial Chemotherapy. 2024;79(5):987-996. doi:10.1093/jac/dkae060. PMID:38502783. PMCID:PMC11062946.