Genome Sequence Analysis in Distributed Computing using Spark

S. Ap., Pooja Mehta, J. Anuradha, B. Tripathy
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引用次数: 2

Abstract

Integration of Computer Science with Bio Science has led to new field Computational Biology which created an opportunity in speeding up the process of analyzing the Bio-data. DNA sequence analysis especially finding the base pairs that helps in identifying the order of nucleotides present in all living beings, it also helps in forensics for DNA profiling and parenting testing. This sequence analysis has been a challenging task in Computational Biology due to large volumes of data and need of more computational resources. Using a distributed file system with distributed computation of tasks can be one of the solutions to above problem. In this paper, the authors use Spark a query engine for large-scale data processing in analyzing the DNA sequence and extracting the base pairs and also they try to improve base pair extraction with improvised algorithms.
基因组序列分析在分布式计算中的应用
计算机科学与生物科学的融合产生了计算生物学这一新领域,它为加快生物数据的分析过程创造了机会。DNA序列分析,特别是寻找碱基对,有助于识别存在于所有生物中的核苷酸的顺序,它也有助于法医DNA分析和亲子鉴定。由于数据量大,需要更多的计算资源,这种序列分析一直是计算生物学中的一项具有挑战性的任务。使用具有任务分布式计算功能的分布式文件系统是解决上述问题的方法之一。本文采用Spark查询引擎进行大规模数据处理,对DNA序列进行分析和碱基对提取,并尝试用改进算法改进碱基对提取。
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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