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K-mer Counting: memory-efficient strategy, parallel computing and field of application for Bioinformatics

机译:K-MER计数:内存有效的策略,并行计算和生物信息学的应用领域

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Currently, k-mer counting is an important algorithm for bioinformatics research. This review lists the major application fields of k-mer counting in Bioinformatics at the beginning. Next, we introduce the commonly used memory-efficient strategy for k-mer counting tools, because the large amount of memory request is a bottleneck of k-mer counting tools. Next we illustrate the current parallel computing technologies for k-mer counting tool. Finally, we discuss the future study for k-mer counting.
机译:目前,K-MES计数是生物信息学研究的重要算法。此述评列出了开始时生物信息学中的K-MER的主要应用领域。接下来,我们介绍了k-mer计数工具的常用内存有效策略,因为大量的内存请求是k-mer计数工具的瓶颈。接下来,我们说明了K-MES计数工具的当前并行计算技术。最后,我们讨论了K-MER计数的未来研究。

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