Iterated local search for de novo genomic sequencing

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Abstract

The sequencing process of a DNA chain for reading its components supposes a complex process, since only small DNA fragments can be read nowadays. Therefore, the use of optimization algorithms is required to rebuild a single chain from all the small pieces. We address here a simplified version of the problem, in which no errors in the sequencing process are allowed. The methods typically used in the literature for this problem are not satisfactory when solving realistic size instances, so there is a need for new more efficient and accurate methods. We propose a new iterated local search algorithm, highly competitive with the best algorithms in the literature, and considerably faster. © 2010 Springer-Verlag.

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APA

Dorronsoro, B., Bouvry, P., & Alba, E. (2010). Iterated local search for de novo genomic sequencing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6114 LNAI, pp. 428–436). https://doi.org/10.1007/978-3-642-13232-2_52

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