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Finding local genome rearrangements.

Pijus SimonaitisKrister M Swenson
Published in: Algorithms for molecular biology : AMB (2018)
A new variant of the weighted DCJ distance problem is addressed that ignores scenario length in its objective function. A solution to this problem provides a lower bound on the number of unlikely moves necessary when transforming one gene order into another. This lower bound aids in the study of rearrangement scenarios with respect to chromatin structure, and could eventually be used in the design of a fixed parameter algorithm with a more general objective function.
Keyphrases
  • genome wide
  • gene expression
  • machine learning
  • climate change
  • dna damage
  • magnetic resonance
  • deep learning
  • transcription factor
  • magnetic resonance imaging
  • antiretroviral therapy
  • computed tomography