Title |
Differentiating Plasmodium falciparum alleles by transforming Cartesian X,Y data to polar coordinates
|
---|---|
Published in |
BMC Genomic Data, June 2010
|
DOI | 10.1186/1471-2156-11-57 |
Pubmed ID | |
Authors |
Jeana T DaRe, Drew P Kouri, Peter A Zimmerman, Peter J Thomas |
Abstract |
Diagnosis of infectious diseases now benefits from advancing technology to perform multiplex analysis of a growing number of variables. These advances enable simultaneous surveillance of markers characterizing species and strain complexity, mutations associated with drug susceptibility, and antigen-based polymorphisms in relation to evaluation of vaccine effectiveness. We have recently developed assays detecting single nucleotide polymorphisms (SNPs) in the P. falciparum genome that take advantage of post-PCR ligation detection reaction and fluorescent microsphere labeling strategies. Data from these assays produce a spectrum of outcomes showing that infections result from single to multiple strains. Traditional methods for distinguishing true positive signal from background can cause false positive diagnoses leading to incorrect interpretation of outcomes associated with disease treatment. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 7% |
United States | 1 | 3% |
Unknown | 26 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 34% |
Student > Ph. D. Student | 6 | 21% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 5 | 17% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 24% |
Agricultural and Biological Sciences | 6 | 21% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Engineering | 3 | 10% |
Computer Science | 2 | 7% |
Other | 4 | 14% |
Unknown | 4 | 14% |