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A Graph-Theoretical Approach to the Selection of the Minimum Tiling Path from a Physical Map

机译:从物理图选择最小平铺路径的图论方法

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The problem of computing the minimum tiling path (MTP) from a set of clones arranged in a physical map is a cornerstone of hierarchical (clone-by-clone) genome sequencing projects. We formulate this problem in a graph theoretical framework, and then solve by a combination of minimum hitting set and minimum spanning tree algorithms. The tool implementing this strategy, called FMTP, shows improved performance compared to the widely used software FPC. When we execute FMTP and FPC on the same physical map, the MTP produced by FMTP covers a higher portion of the genome, and uses a smaller number of clones. For instance, on the rice genome the MTP produced by our tool would reduce by about 11 percent the cost of a clone-by-clone sequencing project. Source code, benchmark data sets, and documentation of FMTP are freely available at >http://code.google.com/p/fingerprint-based-minimal-tiling-path/ under MIT license.
机译:从物理图中排列的一组克隆中计算最小拼接路径(MTP)的问题是分层(逐个克隆)基因组测序项目的基石。我们在图论框架中提出这个问题,然后通过最小击中集和最小生成树算法的组合来解决。与广泛使用的软件FPC相比,实施此策略的工具FMTP显示出更高的性能。当我们在同一物理图上执行FMTP和FPC时,FMTP产生的MTP覆盖了基因组的较高部分,并使用了较少的克隆。例如,在水稻基因组上,我们的工具产生的MTP将使逐个克隆测序项目的成本降低约11%。根据MIT许可,可在> http://code.google.com/p/fingerprint-based-minimal-tiling-path/免费获得FMTP的源代码,基准数据集和文档。

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