Gaussian process test for high-throughput sequencing time series: application to experimental evolution

@article{Topa2014GaussianPT,
  title={Gaussian process test for high-throughput sequencing time series: application to experimental evolution},
  author={Hande Topa and {\'A}gnes J{\'o}n{\'a}s and Robert Kofler and Carolin Kosiol and Antti Honkela},
  journal={Bioinformatics},
  year={2014},
  volume={31},
  pages={1762 - 1770}
}
Motivation: Recent advances in high-throughput sequencing (HTS) have made it possible to monitor genomes in great detail. New experiments not only use HTS to measure genomic features at one time point but also monitor them changing over time with the aim of identifying significant changes in their abundance. In population genetics, for example, allele frequencies are monitored over time to detect significant frequency changes that indicate selection pressures. Previous attempts at analyzing… 

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