Estimating change rates of genetic markers using serial samples: applications to the transposon IS6110 in Mycobacterium tuberculosis.

@article{Rosenberg2003EstimatingCR,
  title={Estimating change rates of genetic markers using serial samples: applications to the transposon IS6110 in Mycobacterium tuberculosis.},
  author={Noah A. Rosenberg and Anthony George Tsolaki and Mark M. Tanaka},
  journal={Theoretical population biology},
  year={2003},
  volume={63 4},
  pages={347-63}
}
In infectious disease epidemiology, it is useful to know how quickly genetic markers of pathogenic agents evolve while inside hosts. We propose a modular framework with which these genotype change rates can be estimated. The estimation scheme requires a model of the underlying process of genetic change, a detection scheme that filters this process into observable quantities, and a monitoring scheme that describes the timing of observations. We study a linear "birth-shift-death" model for change… CONTINUE READING

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