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A high-throughput gene sequence alignment strategy using parallel computing

机译：使用并行计算的高吞吐基因序列对准策略

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摘要

Sequence alignment has been an important part of biological big data computing. There are a number of platforms to provide sequence alignment services currently in the world. They have different characteristics in various aspects, such as speed, accuracy, limitation, etc. In this article we propose a strategy for gene sequence alignment based on parallel computing and an algorithm for gene sequence alignment which has higher accuracy and more suitability than most others is introduced and improved to ensure the accuracy and efficiency of calculation. Furthermore, with parallel computing, it can use more computing resources so that it has faster computing speed. A test was done with analyzing data from National Center of Biotechnology Information (NCBI) genome database. The result shows that the strategy can accomplish calculation task in general computing resource allocation environment, the time-consuming is in the range of 31% to 36% of original method in the case of large calculation amount. It will provide fundamental technology for sequence alignment application of cloud computing platform.
机译：序列对齐是生物大数据计算的重要组成部分。有许多平台可以在世界上提供序列对齐服务。它们在各个方面具有不同的特征，例如速度，准确性，限制等。在本文中，我们提出了一种基于并行计算的基因序列对准的策略和基因序列对准的算法，其具有更高的精度和比大多数更高的适用性介绍并改进以确保计算的准确性和效率。此外，通过并行计算，它可以使用更多的计算资源，使其具有更快的计算速度。通过分析来自国家生物技术信息（NCBI）基因组数据库的国家的数据进行测试。结果表明，该策略可以在一般计算资源分配环境中完成计算任务，在大量计算量的情况下，耗时的耗时范围为31％至36％的原始方法。它将提供云计算平台序列对准应用的基本技术。

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