Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation
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 va...
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th-mahidol.342432018-11-09T09:36:54Z Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation 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 Medicine 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. 2018-11-09T02:36:54Z 2018-11-09T02:36:54Z 2014-06-01 Article Journal of Infectious Diseases. Vol.209, No.11 (2014), 1808-1815 10.1093/infdis/jit812 15376613 00221899 2-s2.0-84900791013 https://repository.li.mahidol.ac.th/handle/123456789/34243 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84900791013&origin=inward |
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Medicine 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 Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
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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. |
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London School of Hygiene & Tropical Medicine |
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London School of Hygiene & Tropical Medicine 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 |
format |
Article |
author |
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 |
author_sort |
Mark D. Preston |
title |
Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
title_short |
Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
title_full |
Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
title_fullStr |
Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
title_full_unstemmed |
Plasmo View: A web-based resource to visualise global Plasmodium falciparum genomic variation |
title_sort |
plasmo view: a web-based resource to visualise global plasmodium falciparum genomic variation |
publishDate |
2018 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/34243 |
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1763496046539833344 |