Inferring Selective Constraint from Population Genomic Data Suggests Recent Regulatory Turnover in the Human Brain

@article{Schrider2015InferringSC,
  title={Inferring Selective Constraint from Population Genomic Data Suggests Recent Regulatory Turnover in the Human Brain},
  author={Daniel R. Schrider and Andrew D. Kern},
  journal={Genome Biology and Evolution},
  year={2015},
  volume={7},
  pages={3511 - 3528}
}
  • Daniel R. Schrider, Andrew D. Kern
  • Published 2015
  • Biology, Medicine
  • Genome Biology and Evolution
  • The comparative genomics revolution of the past decade has enabled the discovery of functional elements in the human genome via sequence comparison. While that is so, an important class of elements, those specific to humans, is entirely missed by searching for sequence conservation across species. Here we present an analysis based on variation data among human genomes that utilizes a supervised machine learning approach for the identification of human-specific purifying selection in the genome… CONTINUE READING
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