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.

PMID: 28961721
PMCID: PMC5870807
Funding: - Wellcome Trust: 100956/Z/13/Z

Documentation