Evolutionary trees of species can be reconstructed by pairwise comparison of their entire genomes. Such a comparison can be quantified by determining the number of events that change the order of genes in a genome. Earlier Erdem and Tillier formulated the pairwise comparison of entire genomes as the problem of planning rearrangement events that transform one genome to the other. We reformulate this problem as a planning problem to extend its applicability to genomes with multiple copies of genes and with unequal gene content, and illustrate its applicability and effectiveness on three real datasets: mitochondrial genomes of Metazoa, chloroplast genomes of Campanulaceae, chloroplast genomes of various land plants and green algae.
CITATION STYLE
Uras, T., & Erdem, E. (2010). Genome Rearrangement: A Planning Approach. In Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010 (pp. 1963–1964). AAAI Press. https://doi.org/10.1609/aaai.v24i1.7787
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