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A Parallel Algorithm For Compression Of Big Next-Generation Sequencing Datasets, Sandino N. Vargas Perez, Fahad Saeed
A Parallel Algorithm For Compression Of Big Next-Generation Sequencing Datasets, Sandino N. Vargas Perez, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
With the advent of high-throughput next-generation sequencing (NGS) techniques, the amount of data being generated represents challenges including storage, analysis and transport of huge datasets. One solution to storage and transmission of data is compression using specialized compression algorithms. However, these specialized algorithms suffer from poor scalability with increasing size of the datasets and best available solutions can take hours to compress gigabytes of data. In this paper we introduce paraDSRC, a parallel implementation of DSRC algorithm using a message passing model that presents reduction of the compression time complexity by a factor of O(1/p ). Our experimental results show …