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

机译:K-mer计数:生物信息学的内存高效策略,并行计算和应用领域

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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-mer计数是生物信息学研究的重要算法。这篇综述从一开始就列出了生物信息学中k聚体计数的主要应用领域。接下来,我们介绍k-mer计数工具常用的内存高效策略,因为大量的内存请求是k-mer计数工具的瓶颈。接下来,我们说明用于k-mer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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