首页> 外文期刊>Journal of computational biology: A journal of computational molecular cell biology >Improving the Practical Space and Time Efficiency of the Shortest-Paths Approach to Sum-of-Pairs Multiple Sequence Alignment
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Improving the Practical Space and Time Efficiency of the Shortest-Paths Approach to Sum-of-Pairs Multiple Sequence Alignment

机译:提高最短路径方法对和和多序列比对的实际时空效率

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The MSA program, written and distributed in 1989, is one of the few existing programs that attempts to find optimal alignments of multiple protein or DNA sequences. The MSA program implements a branch-and-bound technique together with a variant of Dijkstra's shortest paths algorithm to prune the basic dynamic programming graph. We have made substantial improvements in the time and space usage of MSA. The improvements make feasible a variety of problem instances that were not feasible previously. On some runs we achieve an order of magnitude reduction in space usage and a significant multiplicative factor speedup in running time. To explain how these improvements work, we give a much more detailed description of MSA than has been previously available. In practice, MSA rarely produces a provably optimal alignment and we explain why.
机译:MSA程序于1989年编写和发行,是少数几个试图找到多个蛋白质或DNA序列最佳比对的现有程序之一。 MSA程序实现了分支定界技术以及Dijkstra最短路径算法的变体,以修剪基本的动态编程图。我们在MSA的时间和空间使用方面进行了重大改进。这些改进使以前无法实现的各种问题实例变得可行。在某些运行中,我们实现了空间使用量减少一个数量级,并且运行时间显着增加了倍增因子。为了解释这些改进的工作原理,我们对MSA进行了比以前更详细的描述。在实践中,MSA很少产生可证明的最佳比对,我们解释原因。

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