Rachid Maan Haj, Malluhi Qutaibah
KINDI Lab for Computing Research, Qatar University, P.O. Box 2713, Doha, Qatar.
Biomed Res Int. 2015;2015:905261. doi: 10.1155/2015/905261. Epub 2015 Apr 19.
The evolution of the next generation sequencing technology increases the demand for efficient solutions, in terms of space and time, for several bioinformatics problems. This paper presents a practical and easy-to-implement solution for one of these problems, namely, the all-pairs suffix-prefix problem, using a compact prefix tree. The paper demonstrates an efficient construction of this time-efficient and space-economical tree data structure. The paper presents techniques for parallel implementations of the proposed solution. Experimental evaluation indicates superior results in terms of space and time over existing solutions. Results also show that the proposed technique is highly scalable in a parallel execution environment.
下一代测序技术的发展增加了对针对若干生物信息学问题在空间和时间方面高效解决方案的需求。本文针对其中一个问题,即全对后缀 - 前缀问题,提出了一种实用且易于实现的解决方案,该方案使用了一种紧凑前缀树。本文展示了这种时间高效且空间经济的树状数据结构的高效构建方法。本文还介绍了所提解决方案的并行实现技术。实验评估表明,在空间和时间方面,该方案比现有解决方案具有更优的结果。结果还表明,所提技术在并行执行环境中具有高度可扩展性。