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Titlebook: Advances in Bioinformatics and Computational Biology; 9th Brazilian Sympos Sérgio Campos Conference proceedings 2014 Springer International

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https://doi.org/10.1007/b138699e to sample evolutionary scenarios from the whole solution space under the Boltzmann distribution. We apply our algorithms to a dataset of mammalian gene trees and adjacencies, and observe a significant reduction of the number of syntenic inconsistencies observed in the resulting ancestral gene adja
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https://doi.org/10.1007/b138699outside grammars from their inside progenitors. These theoretical contributions are illustrated by ADP-style algorithms for shortest Hamiltonian path problems. These arise naturally when asking whether the evolutionary history of an ancient gene cluster can be explained by a series of local tandem d
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https://doi.org/10.1007/b138699d for this purpose is the Basic Local Alignment Search Tool (BLAST). BLAST however, presents limits on the size of sequences that can be analyzed requiring the use of a lot of memory and time for long sequences. Therefore, improvements can be made to overcome these limitations. In this work we propo
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https://doi.org/10.1007/b138699ve multi-objective evolutionary algorithm to optimize pre-aligned sequences. This algorithm benefits from the great diversity of state-of-the-art algorithms and produces alignments that do not depend on specific sequence features. The proposed method is validated with a database of refined multiple
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https://doi.org/10.1007/b138699nversions are one of the most frequently observed rearrangements. In some bacterial families, inversions are biased in favor of symmetry as shown by recent research [6, 8, 10]. In addition, several results suggest that short segment inversions are more frequent in the evolution of microbial genomes 
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