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An invariants-based method for efficient identification of hybrid species from large-scale genomic data.

Laura S KubatkoJulia Chifman
Published in: BMC evolutionary biology (2019)
The proposed method is powerful for detecting hybridization for both recent and ancient hybridization events. The computations required can be carried out rapidly for a large number of sequences using genome-scale data, and the method is appropriate for both SNP and multilocus data.
Keyphrases
  • electronic health record
  • big data
  • genome wide
  • single molecule
  • machine learning
  • gene expression
  • data analysis
  • genetic diversity
  • deep learning