Predicting crossover generation in DNA shuffling.

  title={Predicting crossover generation in DNA shuffling.},
  author={Gregory L. Moore and Costas D. Maranas and Sharon Lutz and Stephen J Benkovic},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  volume={98 6},
We introduce a quantitative framework for assessing the generation of crossovers in DNA shuffling experiments. The approach uses free energy calculations and complete sequence information to model the annealing process. Statistics obtained for the annealing events then are combined with a reassembly algorithm to infer crossover allocation in the reassembled sequences. The fraction of reassembled sequences containing zero, one, two, or more crossovers and the probability that a given nucleotide… CONTINUE READING

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Crossover probability distributions for in silico family DNA shuffling of all 12 subtilases (L 5 15)

  • M. Ostermeier, A. E. Nixon, S. J. Benkovic
  • BioyTechnology
  • 1999

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