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Algorithms for matching partially labelled sequence graphs.

William R Taylor
Published in: Algorithms for molecular biology : AMB (2017)
The methods develop here still need refinement and augmentation from constraints other than the sequence data alone, such as known interactions from annotation and databases, or non-trivial relationships in genome location. With the ever growing numbers of eukaryotic genomes, it is hoped that the methods described here will open a route to the use of these data equal to the current success attained with bacterial sequences.
Keyphrases
  • big data
  • electronic health record
  • machine learning
  • minimally invasive
  • deep learning
  • genome wide
  • data analysis
  • amino acid
  • artificial intelligence
  • dna methylation