Mark D. PrestonSamuel A. AssefaHarold OchollaColin J. SutherlandSteffen BorrmannAlexis NzilaPascal MichonTran Tinh HienTeun BousemaChristopher J. DrakeleyIssaka ZongoJean Bosco OuédraogoAbdoulaye A. DjimdeOgobara K. DoumboFrancois NostenRick M. FairhurstDavid J. ConwayCally RoperTaane G. ClarkLondon School of Hygiene & Tropical MedicineMalawi-Liverpool-Wellcome Trust Clinical Research ProgrammeLiverpool School of Tropical MedicineWellcome Trust Research Laboratories NairobiUniversitat HeidelbergKing Fahd University of Petroleum and MineralsPapua New Guinea Institute of Medical ResearchUCLInstitut de Recherche en Sciences de la SantéUniversity of Bamako Faculty of Medicine, Pharmacy and Odonto-StomatologyWellcome Trust Sanger InstituteMahidol UniversityUniversity of OxfordShoklo Malaria Research UnitNational Institute of Allergy and Infectious Diseases2018-11-092018-11-092014-06-01Journal of Infectious Diseases. Vol.209, No.11 (2014), 1808-181515376613002218992-s2.0-84900791013https://repository.li.mahidol.ac.th/handle/123456789/34243Malaria is a global public health challenge, with drug resistance a major barrier to disease control and elimination. To meet the urgent need for better treatments and vaccines, a deeper knowledge of Plasmodium biology and malaria epidemiology is required. An improved understanding of the genomic variation of malaria parasites, especially the most virulent Plasmodium falciparum (Pf) species, has the potential to yield new insights in these areas. High-throughput sequencing and genotyping is generating large amounts of genomic data across multiple parasite populations. The resulting ability to identify informative variants, particularly single-nucleotide polymorphisms (SNPs), will lead to the discovery of intra- and inter-population differences and thus enable the development of genetic barcodes for diagnostic assays and clinical studies. Knowledge of genetic variability underlying drug resistance and other differential phenotypes will also facilitate the identification of novel mutations and contribute to surveillance and stratified medicine applications. The PlasmoView interactive web-browsing tool enables the research community to visualise genomic variation and annotation (eg, biological function) in a geographic setting. The first release contains over 600 000 high-quality SNPs in 631 Pf isolates from laboratory strains and four malaria-endemic regions (West Africa, East Africa, Southeast Asia and Oceania). © 2013 The Author 2013. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.Mahidol UniversityMedicineArticleSCOPUS10.1093/infdis/jit812