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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Multi-Objective Evolutionary Algorithm for Improving Multiple Sequence Alignments
verfasst von : Wilson Soto, David Becerra
Erschienen in: Advances in Bioinformatics and Computational Biology
Verlag: Springer International Publishing
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Multiple Sequence Alignments are essential tools for many tasks performed in molecular biology. This paper proposes an efficient, scalable and effective 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 sequence alignments and uses four standard metrics to compare the quality of the results.