Multiprocess Implementation of DNA Pre-alignment Filtering using the Bit Matrix Algorithm

Aaron Russell Fajardo, Saira Kaye Manalili, Candace Claire Mercado, R. Zapanta, R. Uy
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Abstract

With the emergence of more advance technologies in genomic research, it has becomes easier to answer biological and genomic questions. To be able to analyze advance genomic data, however, the process has to start with the determination of sequence variations between two genomic sequences. This process is called the read mapping process. This involves mapping reads to a similar reference genome which can be computationally intensive. Because of this, most works adapt the filter-verification paradigm. More recently, there are works that focus on improving the filtering phase by adding another layer to it called the pre-alignment filter. This manuscript focuses on the bit matrix pre-alignment filter with a goal of improving the implementation by using multiprocessing techniques that exploit multi-core CPUs. The results of this manuscript show that there is an improvement in using the parallel version over the sequential version by an average factor of 4.2 without sacrificing accuracy.
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利用位矩阵算法多进程实现DNA预对齐滤波
随着基因组研究中更多先进技术的出现,回答生物学和基因组学问题变得更加容易。然而,为了能够分析先进的基因组数据,这个过程必须从确定两个基因组序列之间的序列差异开始。这个过程称为读映射过程。这涉及到将读数映射到类似的参考基因组,这可能是计算密集型的。正因为如此,大多数工作都采用了过滤器验证范式。最近,有一些工作是通过增加另一层称为预校准滤波器的层来改善滤波阶段。本文着重于位矩阵预对齐滤波器,目的是通过使用利用多核cpu的多处理技术来改进实现。本文的结果表明,在不牺牲精度的情况下,使用并行版本比顺序版本有平均4.2倍的改进。
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