DEploid Python package -- Deconvolute Mixed Genomes with Unknown Proportions

Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.

Installation

pip install dEploid

Usage

Please see the documentation for further details.

Licence

You can freely use all code in this project under the conditions of the GNU GPL Version 3 or later.

Citation

If you use dEploid with the flag -ibd, please cite the following paper:

Zhu, J. S., J. A. Hendry, J. Almagro-Garcia, R. D. Pearson, R. Amato, A. Miles, D. J. Weiss, T. C. D. Lucas, M. Nguyen, P. W. Gething, D. Kwiatkowski, G. McVean, and for the Pf3k Project. (2018) The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria. biorxiv, doi: https://doi.org/10.1101/387266.

If you use dEploid in your work, please cite the program:

Zhu, J. S. J. A. Garcia G. McVean. (2018) Deconvolution of multiple infections in Plasmodium falciparum from high throughput sequencing data. Bioinformatics 34(1), 9-15. doi: https://doi.org/10.1093/bioinformatics/btx530.