DEploid
DEploid deconvolves mixed Plasmodium falciparum infections from high-coverage genome-wide sequencing of blood samples to infer strain haplotypes and their relative proportions.
Key Features:
- Statistical Methodology: Employs a statistical deconvolution approach that leverages haplotype structures from a reference panel of clonal isolates as priors.
- Strain Estimation: Estimates the number of distinct strains present, their relative proportions, and the specific haplotypes represented in a sample.
- High-Resolution Sequencing Support: Operates on high-coverage, high-throughput genome-wide sequencing data from blood samples to resolve within-host parasite diversity.
Scientific Applications:
- Drug Resistance Studies: Identifies and quantifies co-infecting Plasmodium falciparum strains to inform analyses of genetic determinants of drug resistance.
- Disease Severity Research: Dissects within-host strain composition to study contributions of different Plasmodium falciparum strains to disease severity.
- Epidemiological Studies: Tracks strain composition and diversity to support studies of Plasmodium falciparum transmission, spread, and evolution in populations.
Methodology:
Performs statistical deconvolution using haplotype priors derived from a curated reference panel of clonal isolates to infer strain presence, haplotypes, and relative proportions from high-coverage genome-wide sequencing data.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R
- Added:
- 6/18/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Zhu SJ, Almagro-Garcia J, McVean G. Deconvolution of multiple infections in <i>Plasmodium falciparum</i> from high throughput sequencing data. Bioinformatics. 2017;34(1):9-15. doi:10.1093/bioinformatics/btx530. PMID:28961721. PMCID:PMC5870807.