Big data in genomics

T. Godhandaraman, N. Pruthviraj, V. Praveenkumar, A. Banuprasad, K. Karthick
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引用次数: 7

Abstract

A big data on Healthcare applications which is require big data management as well as intensive computation. In this paper, focus on Genomics in cancer testing whether the healthcare applications can scale well on commercial big data platforms that implement Map Reduce framework. We selected short read gene data sequence alignment and assembly workloads in genome analysis and Apache Hadoop distributed parallelized data processing, analysis petabyte (PB) or Exabyte(EB). Currently usage of bioinformatics community by Hadoop.
基因组学中的大数据
医疗保健领域的大数据应用需要大数据管理和密集的计算。本文以基因组学在癌症中的应用为重点,测试医疗保健应用是否可以在实现Map Reduce框架的商业大数据平台上很好地扩展。我们选择基因组分析和Apache Hadoop分布式并行数据处理中的短读基因数据序列比对和组装工作负载,分析PB或EB。目前生物信息学社区使用Hadoop。
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