A computational pipeline to discover highly phylogenetically informative genes in sequenced genomes: application to Saccharomyces cerevisiae natural strains

@inproceedings{Ramazzotti2012ACP,
  title={A computational pipeline to discover highly phylogenetically informative genes in sequenced genomes: application to Saccharomyces cerevisiae natural strains},
  author={Matteo Ramazzotti and Luisa Bern{\'a} and Irene Stefanini and Duccio Cavalieri},
  booktitle={Nucleic acids research},
  year={2012}
}
The quest for genes representing genetic relationships of strains or individuals within populations and their evolutionary history is acquiring a novel dimension of complexity with the advancement of next-generation sequencing (NGS) technologies. In fact, sequencing an entire genome uncovers genetic variation in coding and non-coding regions and offers the possibility of studying Saccharomyces cerevisiae populations at the strain level. Nevertheless, the disadvantageous cost-benefit ratio (the… CONTINUE READING
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