Sequential and parallel algorithms for DNA sequencing.

J Blazewicz, J Kaczmarek, M Kasprzak, W T Markiewicz, J Weglarz
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引用次数: 25

Abstract

Motivation: Reconstruction of the original DNA sequence in the sequencing by the hybridization approach (SBH) requires computational support due to a large number of possible combinations. One can notice a lack of algorithms admitting false-negative data and giving in addition all possible solutions.

Results: In this paper, a new method of sequencing has been proposed. An algorithm based on its idea (for the general case, when some data are missing, like in the real experiment) has been implemented and tested. Authentic DNA sequences have been used for testing. A parallel version of the algorithm has also been implemented and tested. The quality of the reconstruction is satisfactory for the library of oligonucleotides of length between 8 and 12, and 100, 200 and 300 bp long sequences. A way to a further decrease in the computation time is also suggested.

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DNA测序的顺序和并行算法。
动机:利用杂交法(SBH)重建原始DNA序列需要计算支持,因为有大量可能的组合。人们可以注意到,缺乏承认假阴性数据并给出所有可能解决方案的算法。结果:本文提出了一种新的测序方法。基于其思想的算法(对于一般情况,当一些数据丢失时,就像在真实的实验中一样)已经实现和测试。真实的DNA序列已被用于测试。该算法的并行版本也已实现和测试。对于长度在8 ~ 12 bp之间,长度在100、200和300 bp之间的序列,重建的质量令人满意。本文还提出了一种进一步减少计算时间的方法。
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A genetic algorithm for multiple molecular sequence alignment. Displaying the information contents of structural RNA alignments: the structure logos. Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR. SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements. XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences.
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