Title |
Whole genome sequencing analysis of Plasmodium vivax using whole genome capture
|
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Published in |
BMC Genomics, June 2012
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DOI | 10.1186/1471-2164-13-262 |
Pubmed ID | |
Authors |
A Taylor Bright, Ryan Tewhey, Shira Abeles, Raul Chuquiyauri, Alejandro Llanos-Cuentas, Marcelo U Ferreira, Nicholas J Schork, Joseph M Vinetz, Elizabeth A Winzeler |
Abstract |
Malaria caused by Plasmodium vivax is an experimentally neglected severe disease with a substantial burden on human health. Because of technical limitations, little is known about the biology of this important human pathogen. Whole genome analysis methods on patient-derived material are thus likely to have a substantial impact on our understanding of P. vivax pathogenesis and epidemiology. For example, it will allow study of the evolution and population biology of the parasite, allow parasite transmission patterns to be characterized, and may facilitate the identification of new drug resistance genes. Because parasitemias are typically low and the parasite cannot be readily cultured, on-site leukocyte depletion of blood samples is typically needed to remove human DNA that may be 1000X more abundant than parasite DNA. These features have precluded the analysis of archived blood samples and require the presence of laboratories in close proximity to the collection of field samples for optimal pre-cryopreservation sample preparation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 33% |
Germany | 1 | 33% |
India | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 3% |
France | 1 | <1% |
Pakistan | 1 | <1% |
Brazil | 1 | <1% |
Australia | 1 | <1% |
India | 1 | <1% |
United States | 1 | <1% |
Unknown | 112 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 30% |
Student > Ph. D. Student | 30 | 25% |
Student > Master | 11 | 9% |
Professor > Associate Professor | 7 | 6% |
Lecturer | 5 | 4% |
Other | 18 | 15% |
Unknown | 15 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 53 | 43% |
Biochemistry, Genetics and Molecular Biology | 22 | 18% |
Medicine and Dentistry | 10 | 8% |
Engineering | 4 | 3% |
Immunology and Microbiology | 3 | 2% |
Other | 13 | 11% |
Unknown | 17 | 14% |