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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/34243
Title: Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation
Authors: Mark D. Preston
Samuel A. Assefa
Harold Ocholla
Colin J. Sutherland
Steffen Borrmann
Alexis Nzila
Pascal Michon
Tran Tinh Hien
Teun Bousema
Christopher J. Drakeley
Issaka Zongo
Jean Bosco Ouédraogo
Abdoulaye A. Djimde
Ogobara K. Doumbo
Francois Nosten
Rick M. Fairhurst
David J. Conway
Cally Roper
Taane G. Clark
London School of Hygiene & Tropical Medicine
Malawi-Liverpool-Wellcome Trust Clinical Research Programme
Liverpool School of Tropical Medicine
Wellcome Trust Research Laboratories Nairobi
Universitat Heidelberg
King Fahd University of Petroleum and Minerals
Papua New Guinea Institute of Medical Research
UCL
Institut de Recherche en Sciences de la Santé
University of Bamako Faculty of Medicine, Pharmacy and Odonto-Stomatology
Wellcome Trust Sanger Institute
Mahidol University
University of Oxford
Shoklo Malaria Research Unit
National Institute of Allergy and Infectious Diseases
Keywords: Medicine
Issue Date: 1-Jun-2014
Citation: Journal of Infectious Diseases. Vol.209, No.11 (2014), 1808-1815
Abstract: Malaria 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900791013&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/34243
ISSN: 15376613
00221899
Appears in Collections:Scopus 2011-2015

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