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Modeling the genetic relatedness of Plasmodium falciparum parasites following meiotic recombination and cotransmission
2018
PLoS Computational Biology
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The computations in this paper were run on the Odyssey cluster supported by the FAS Division of Science, Research Computing Group at Harvard University. ...
Acknowledgments We thank Hsiao-Han Chang, Angela Early, Seth Redmond, and Daniel E. Neafsey for helpful discussions and early manuscript critiques. ...
The distinction between genetically distinct and genetically identical meiotic siblings is relevant in the context of cotransmission, as the transmission of clonal meiotic siblings cannot result in cotransmission ...
doi:10.1371/journal.pcbi.1005923
pmid:29315306
pmcid:PMC5777656
fatcat:iqv23jifq5ca5hqrtybhiqv3py
Evaluating the performance of malaria genetics for inferring changes in transmission intensity using transmission modelling
2020
Molecular biology and evolution
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
the level of genetic diversity and relatedness of malaria parasites. ...
Finally, we characterise the predictive power of six metrics of parasite genetics for detecting changes in transmission intensity, before grouping them in an ensemble statistical model. ...
Data Availability The transmission model developed was written in Cþþ and is available as the R package magenta (Watson et al.), with all data generated in this analysis using magenta v1.0.0 and freely ...
doi:10.1093/molbev/msaa225
pmid:32898225
pmcid:PMC7783189
fatcat:wrrpxmwpkfhs3my5q6jjy44qsu
Evaluating the performance of malaria genomics for inferring changes in transmission intensity using transmission modelling
[article]
2019
biorxiv/medrxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Finally, we characterise the predictive power of six metrics of parasite genetics for detecting changes in transmission intensity, before grouping them in an ensemble statistical model. ...
We predict that cotransmission and superinfection contribute equally to within-host parasite genetic diversity at 11.5% PCR prevalence, above which superinfections dominate. ...
Data Availability The transmission model developed was written in Cþþ and is available as the R package magenta (Watson et al.), with all data generated in this analysis using magenta v1.0.0 and freely ...
doi:10.1101/793554
fatcat:zswbcy2wyjdmljo2deswuxiqpq