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An Effective Approach for Cloud-Based Microbial Metagenomics Analysis

机译:基于云的微生物偏见分析的有效方法

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The growth of public DNA sequence and metagenomic data over the last two decades has been exponential. Bioinformatics researchers are confronted with analysis of massive data sets, while the problem is still growing at an alarming rate in the near future. In this paper, we integrate many open source software tools in biological sequences analysis to construct an effective cloud-based microbial metagenomics analysis tool. The proposed method incorporates the Hadoop framework, with combination of data analysis and data storage, which makes the analysis tools more efficient to work with Big Data behind the ever growing metagenomic DNA sequences.
机译:过去二十年的公共DNA序列和偏见数据的增长一直是指数级的。生物信息学研究人员面临着大规模数据集的分析,而问题仍然在不久的将来以惊人的速度增长。本文在生物序列分析中集成了许多开源软件工具,构建了基于云的微生物分析分析工具。所提出的方法包括Hadoop框架,具有数据分析和数据存储的组合,这使得分析工具更有效率,以便在越来越多的肉头组织DNA序列后面使用大数据。

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