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Application of a MAX-CUT Heuristic to the Contig Orientation Problem in Genome Assembly

Published: 22 September 2013 Publication History

Abstract

In the context of genome assembly, the contig orientation problem is described as the problem of removing sufficient edges from the scaffold graph so that the remaining subgraph assigns a consistent orientation to all sequence nodes in the graph. This problem can also be phrased as a weighted MAX-CUT problem. The performance of MAX-CUT heuristics in this application is untested. We present a greedy heuristic solution to the contig orientation problem and compare its performance to a weighted MAX-CUT semi-definite programming heuristic solution on several graphs. We note that the contig orientation problem can be used to identify inverted repeats and inverted haplotypes, as these represent sequences whose orientation appears ambiguous in the conventional genome assembly framework.

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  1. Application of a MAX-CUT Heuristic to the Contig Orientation Problem in Genome Assembly

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      cover image ACM Conferences
      BCB'13: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
      September 2013
      987 pages
      ISBN:9781450324342
      DOI:10.1145/2506583
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 22 September 2013

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      September 22 - 25, 2013
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