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首页> 外文会议>International Conference on Bioinformatics and Biomedicine Workshops >Classification and Clustering in Metagenomics with Unified Data Management and Computational Framework
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Classification and Clustering in Metagenomics with Unified Data Management and Computational Framework

机译：统一数据管理和计算框架的偏见组织分类和聚类

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The new generation of genomic technologies have allowed researchers to determine the collective DNA of organisms co-existing as communities across different environments. There is a need for the computational approaches to analyze and annotate the large volumes of available sequence data from such microbial communities (metagenomes). In this work, we develop an efficient and accurate metagenome classification and clustering approaches that reduce the computational complexity associated with comparing sequences. Our empirical results show the strength of the developed approaches in comparison to state-of-the-art algorithms with regards to computational efficiency and accuracy. We are also developing a web based metabiome portal that contains different computational tools and is used for the scalable, accurate, and easy analysis of large volumes of data available for the human metabiome.
机译：新一代基因组技术使研究人员可以确定各种环境中共存的生物体的集体DNA。需要计算和注释来自这种微生物群落（Metagenomes）的大量可用序列数据的计算方法。在这项工作中，我们开发了一种高效且准确的METAGENOME分类和聚类方法，从而降低与比较序列相关的计算复杂度。我们的经验结果表明，与计算效率和准确性的最先进的算法相比，发达方法的强度。我们还在开发一个基于Web的Metabiome门户网站，包含不同的计算工具，用于可扩展，准确，简单地分析为人类元群组提供的大量数据。

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