ArticleAlgorithms for molecular biology : AMB2017
Algorithms for computing the double cut and join distance on both gene order and intergenic sizes.
Article in Algorithms for molecular biology : AMB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 28 citations in OpenAlex.
- An improved approximation algorithm for the reversal and transposition distance considering gene order and intergenic sizes.Algorithms for molecular biology : AMB · 2021Article
- A general framework for genome rearrangement with biological constraints.Algorithms for molecular biology : AMB · 2019Article
- Super short operations on both gene order and intergenic sizes.Algorithms for molecular biology : AMB · 2019Article
- Sorting signed circular permutations by super short operations.Algorithms for molecular biology : AMB · 2018Article
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3 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCombinatorial works on genome rearrangements have so far ignored the influence of intergene sizes, i.e. the number of nucleotides between consecutive genes, although it was recently shown decisive for the accuracy of inference methods (Biller et al. in Genome Biol Evol 8:1427-39, 2016; Biller et al. in Beckmann A, Bienvenu L, Jonoska N, editors. Proceedings of Pursuit of the Universal-12th conference on computability in Europe, CiE 2016, Lecture notes in computer science, vol 9709, Paris, France, June 27-July 1, 2016. Berlin: Springer, p. 35-44, 2016). In this line, we define a new genome rearrangement model called wDCJ, a generalization of the well-known double cut and join (or DCJ) operation that modifies both the gene order and the intergene size distribution of a genome.
resultsWe first provide a generic formula for the wDCJ distance between two genomes, and show that computing this distance is strongly NP-complete. We then propose an approximation algorithm of ratio 4/3, and two exact ones: a fixed-parameter tractable (FPT) algorithm and an integer linear programming (ILP) formulation.
conclusionsWe provide theoretical and empirical bounds on the expected growth of the parameter at the center of our FPT and ILP algorithms, assuming a probabilistic model of evolution under wDCJ, which shows that both these algorithms should run reasonably fast in practice.
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