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OPTSDNA: Performance evaluation of an efficient distributed bioinformatics system for DNA sequence analysis

机译:OPTSDNA:用于DNA序列分析的高效分布式生物信息系统的性能评估

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摘要

Storage of sequence data is a big concern as the amount of data generated is exponential in nature at several locations. Therefore, there is a need to develop techniques to store data using compression algorithm. Here we describe optimal storage algorithm (OPTSDNA) for storing large amount of DNA sequences of varying length. This paper provides performance analysis of optimal storage algorithm (OPTSDNA) of a distributed bioinformatics computing system for analysis of DNA sequences. OPTSDNA algorithm is used for storing various sizes of DNA sequences into database. DNA sequences of different lengths were stored by using this algorithm. These input DNA sequences are varied in size from very small to very large. Storage size is calculated by this algorithm. Response time is also calculated in this work. The efficiency and performance of the algorithm is high (in size calculation with percentage) when compared with other known with sequential approach.
机译:序列数据的存储是一个大问题,因为在几个位置上生成的数据量实际上是指数的。因此,需要开发使用压缩算法来存储数据的技术。在这里,我们描述了用于存储大量不同长度DNA序列的最佳存储算法(OPTSDNA)。本文提供了用于分析DNA序列的分布式生物信息学计算系统的最佳存储算法(OPTSDNA)的性能分析。 OPTSDNA算法用于将各种大小的DNA序列存储到数据库中。使用此算法可以存储不同长度的DNA序列。这些输入的DNA序列的大小从很小到很大。存储大小是通过此算法计算的。响应时间也在此工作中计算。与其他已知的顺序方法相比,该算法的效率和性能很高(以百分比计算)。

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