A survey of whole genome alignment tools and frameworks based on Hadoop's MapReduce

S. C. Purbarani, H. Sanabila, A. Bowolaksono, B. Wiweko
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引用次数: 3

Abstract

Next generation DNA sequencing (NGS) project that aims to give understandings in various genes seems to boosts innovative breakthrough in whole genome issues. Dealing with genomic data requires large-scale data storage and processing. Big data technology could be the most appropriate solution to gaining useful knowledge from data comprehensively. This study discusses about genome tools and framework that implement MapReduce of Hadoop's components in sequence alignment computation. The aim of this discussion is presenting an overview of whole genome alignment software tools and the implementation in big data.
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基于Hadoop MapReduce的全基因组比对工具和框架综述
以了解各种基因为目标的下一代DNA测序(NGS)计划有望推动全基因组问题的创新突破。处理基因组数据需要大规模的数据存储和处理。大数据技术可能是全面从数据中获取有用知识的最合适的解决方案。本研究讨论了实现Hadoop组件MapReduce进行序列比对计算的基因组工具和框架。本次讨论的目的是概述全基因组比对软件工具及其在大数据中的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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