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ABSTRACT: 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.Contact
paulmbodily@gmail.comSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Bodily PM
PROVIDER: S-EPMC5006237 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Bodily Paul M PM Fujimoto M Stanley MS Snell Quinn Q Ventura Dan D Clement Mark J MJ
Bioinformatics (Oxford, England) 20150917 1
<h4>Motivation</h4>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.<h4>Results</h4>Our results suggest that our greedy heuristic algorithm not only works well but ...[more]