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EFFICIENT CONSTRAINED MULTIPLE SEQUENCE ALIGNMENT WITH PERFORMANCE GUARANTEE

机译:具有性能保证的高效约束多序列对齐

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摘要

The constrained multiple sequence alignment problem is to align a set of sequences of maximum length n subject to a given constrained sequence, which arises from some knowledge of the structure of the sequences. This paper presents new algorithms for this problem, which are more efficient in terms of time and space (memory) than the previous algorithms,15 and with a worst-case guarantee on the quality of the alignment. Saving the space requirement by a quadratic factor is particularly significant as the previous O(n4)-space algorithm has limited application due to its huge memory requirement. Experiments on real data sets confirm that our new algorithms show improvements in both alignment quality and resource requirements.
机译:受约束的多序列比对问题是将最大长度为n的一组序列与给定的受约束序列比对,这是由对序列结构的一些了解引起的。本文提出了针对该问题的新算法,在时间和空间(内存)方面比以前的算法更有效15,并在最坏情况下保证了对齐质量。由于以前的O(n4)空间算法由于其巨大的内存需求而限制了其应用,因此通过二次因子来节省空间需求尤为重要。在真实数据集上进行的实验证实,我们的新算法显示出比对质量和资源需求方面的改进。

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