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The Key Algorithms of Promoter Data Parallel Processing Based on OpenMP

机译:基于OpenMP的启动子数据并行处理的关键算法

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The key algorithm of parallel technology based on OpenMP is advanced to dispose the promoter data. The promoter data are intercepted from the upstream area of five plants sequences. The five plants contain Arabidopsis Thaliana, Soybean, Alfalfa, Rice and Beans. The processing includes disturbing the sequences in random, calculating the P value, selecting the significant motifs from the frequent motifs, labeling the sequence number and so on. The serial algorithm and the parallel algorithm are compared in the implementation procedure. The experimental result shows that the OpenMP parallel technology can effectively improve the efficiency of the promoter data analysis and processing. It is a realistic significance to the vast amounts of biological information data processing.
机译:提出了基于OpenMP的并行技术关键算法,用于处理启动子数据。从五个植物序列的上游区域截获启动子数据。这五种植物包含拟南芥,大豆,苜蓿,稻米和豆类。该处理包括随机干扰序列,计算P值,从频繁的模体中选择重要的模体,标记序列号等。在实现过程中比较了串行算法和并行算法。实验结果表明,OpenMP并行技术可以有效提高启动子数据的分析和处理效率。这对于大量的生物信息数据处理具有现实意义。

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