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Fast phylogenetic inference from typing data.

João A CarriçoMaxime CrochemoreAlexandre P FranciscoSolon P PissisBruno Ribeiro-GonçalvesCátia Vaz
Published in: Algorithms for molecular biology : AMB (2018)
We propose here an average-case linear-time algorithm to compute pairwise Hamming distances among a set of taxa under a given Hamming distance threshold. This article includes both a theoretical analysis and extensive experimental results concerning the proposed algorithm. We further show how this algorithm can be successfully integrated into a well known phylogenetic inference method, and how it can be used to speedup querying local phylogenetic patterns over large typing databases.
Keyphrases
  • machine learning
  • deep learning
  • big data
  • neural network
  • single cell
  • electronic health record
  • artificial intelligence
  • genetic diversity