Motivation: The contig orientation problem, which we formally define as the MAX-DIR problem, has at times been addressed cursorily and at times using various heuristics. In setting forth a linear-time reduction from the MAX-CUT problem to the MAX-DIR problem, we prove the latter is NP-complete. We compare the relative performance of a novel greedy approach with several other heuristic solutions. Results: Our results suggest that our greedy heuristic algorithm not only works well but also outperforms the other algorithms due to the nature of scaffold graphs. Our results also demonstrate a novel method for identifying inverted repeats and inversion variants, both of which contradict the basic single-orientation assumption. Such inversions have previously been noted as being difficult to detect and are directly involved in the genetic mechanisms of several diseases. Availability and implementation: http://bioresearch.byu.edu/scaffoldscaffolder.
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Bodily, P. M., Fujimoto, M. S., Snell, Q., Ventura, D., & Clement, M. J. (2016). ScaffoldScaffolder: Solving contig orientation via bidirected to directed graph reduction. Bioinformatics, 32(1), 17–24. https://doi.org/10.1093/bioinformatics/btv548