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COMPUTING THE BREAKPOINT DISTANCE BETWEEN PARTIALLY ORDERED GENOMES

机译:计算部分有序基因组之间的断点距离

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The total order of the genes or markers on a chromosome is crucial for most comparative genomics studies. However, the current gene mapping efforts might only suffice to provide a partial order of the genes on a chromosome. Several different genes ormarkers might be mapped at the same position due to the low resolution of gene mapping or missing data. Moreover, conflicting datasets might give rise to the ambiguity of gene order. In this paper, we consider the reversal distance and breakpoint distance problems for partially ordered genomes. We first prove that these problems are NP-hard, and then give an efficient heuristic algorithm to compute the breakpoint distance between partially ordered genomes. The algorithm is based on an efficient approximation algorithm for a natural generalization of the well-known feedback vertex set problem, and has been tested on both simulated and real biological datasets. The experimental results demonstrate that our algorithm is quite effective for estimating thebreakpoint distance between partially ordered genomes and for inferring the gene (total) order.
机译:染色体上基因或标记的总阶段对于大多数比较基因组学研究至关重要。然而,目前的基因映射努力可能只能在染色体上提供基因的部分顺序。由于基因映射或缺失数据的分辨率低,可以在相同位置映射几种不同的基因。此外,冲突的数据集可能会产生基因令的模糊性。在本文中,我们考虑了部分有序基因组的逆转距离和断点距离问题。我们首先证明这些问题是NP - 硬,然后给出一种高效的启发式算法来计算部分有序基因组之间的断点距离。该算法基于用于众所周知的反馈顶点设定问题的自然概括的有效近似算法,并且已经在模拟和真实的生物数据集上进行了测试。实验结果表明,我们的算法非常有效地估计部分有序基因组之间的BreakPoint距离和推断基因(总)顺序。

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