Ancestral population genomics using coalescence hidden Markov models and heuristic optimisation algorithms

@article{Cheng2015AncestralPG,
  title={Ancestral population genomics using coalescence hidden Markov models and heuristic optimisation algorithms},
  author={Jade Yu Cheng and Thomas Mailund},
  journal={Computational biology and chemistry},
  year={2015},
  volume={57},
  pages={
          80-92
        }
}
With full genome data from several closely related species now readily available, we have the ultimate data for demographic inference. Exploiting these full genomes, however, requires models that can explicitly model recombination along alignments of full chromosomal length. Over the last decade a class of models, based on the sequential Markov coalescence model combined with hidden Markov models, has been developed and used to make inference in simple demographic scenarios. To move forward to… CONTINUE READING
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