Local Alignments of DNA Sequences with the Connex Array

D. Thiébaut, G. Stefan, M. Malita
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引用次数: 7

Abstract

This paper presents a heuristic for finding close to optimal solutions to the local alignment problem of two DNA sequences, and more precisely to the gene prediction problem on the Connex Array circuit, a new hierarchical parallel in-memory device. Though not optimal, the solutions generated by our algorithm compare well with those generated by other algorithms in the public domain. When aligning a probe of N symbols to a target of M symbols, the algorithm has a theoretical time complexity of O(N log(N)), with a small constant of proportionality, and requires no preprocessing of the data. However, experimental results exhibit quasi-linear time complexity
DNA序列的Connex阵列局部比对
本文提出了一种启发式算法,用于寻找两个DNA序列局部比对问题的接近最优解,并更精确地解决了Connex阵列电路上的基因预测问题,这是一种新的分层并行内存器件。虽然我们的算法不是最优的,但与公共领域的其他算法产生的解相比,我们的算法产生的解很好。当将N个符号的探针对准M个符号的目标时,该算法的理论时间复杂度为O(N log(N)),比例常数很小,并且不需要对数据进行预处理。然而,实验结果显示出准线性的时间复杂度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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