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The phylogeny of 48 alleles, experimentally verified at 21 kb, and its application to clinical allele detection.

Kshitij SrivastavaKurt R WollenbergWilly Albert Flegel
Published in: Journal of translational medicine (2019)
Our proposed strategy places known alleles in a phylogenetic framework, allowing us to describe as-yet-undiscovered alleles. In this new approach, which relies heavily on the accuracy of the alleles used for the phylogenetic analysis, an expanded set of predicted alleles can be used to infer alleles when large genotype data are analyzed, as typically generated by high-throughput sequencing. The alleles identified by studies like ours may be utilized in designing of microarray technologies, imputing of genotypes and mapping of next generation sequencing data.
Keyphrases
  • electronic health record
  • high throughput sequencing
  • big data
  • high resolution
  • machine learning
  • artificial intelligence
  • quantum dots
  • case control