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ScaffoldScaffolder: solving contig orientation via bidirected to directed graph reduction

机译:ScaffoldScaffolder:通过双向有向图归约来解决重叠群方向

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摘要

>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: .>Contact: >Supplementary information: are available at Bioinformatics online.
机译:>动机:重叠群定向问题(我们正式定义为MAX-DIR问题)有时会被粗略地解决,有时会使用各种启发式方法解决。在提出从MAX-CUT问题到MAX-DIR问题的线性时间减少时,我们证明了后者是NP完全的。我们将一种新型贪婪方法与其他几种启发式解决方案的相对性能进行了比较。>结果:我们的结果表明,由于脚手架图的性质,我们的贪婪启发式算法不仅效果不错,而且性能优于其他算法。我们的结果还证明了一种用于识别反向重复和反向变异的新颖方法,这两种方法都与基本的单向假设相矛盾。先前已经指出,这种倒置很难检测,并且直接涉及几种疾病的遗传机制。>可用性和实现:。>联系方式: >补充信息: 可从生物信息学在线获得。

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