ogaraK: a population genetics simulator for malaria | Zendy

Tiago Antão | Zendy; Ian M. Hastings | Zendy

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ogaraK: a population genetics simulator for malaria

Author(s) -

Tiago Antão,

Ian M. Hastings

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr139

Subject(s) - malaria , plasmodium falciparum , population , biology , population genetics , plasmodium (life cycle) , genetics , transmission (telecommunications) , computer science , computational biology , environmental health , medicine , immunology , parasite hosting , world wide web , telecommunications

The evolution of resistance in Plasmodium falciparum malaria against most available treatments is a major global health threat. Population genetics approaches are commonly used to model the spread of drug resistance. Due to uncommon features in malaria biology, existing forward-time population genetics simulators cannot suitably model Plasmodium falciparum malaria.

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