Genetic sequence matching using D4M big data approaches

@article{Dodson2014GeneticSM,
  title={Genetic sequence matching using D4M big data approaches},
  author={Stephanie Dodson and Darrell O. Ricke and Jeremy Kepner},
  journal={2014 IEEE High Performance Extreme Computing Conference (HPEC)},
  year={2014},
  pages={1-6}
}
  • S. Dodson, D. Ricke, J. Kepner
  • Published 25 July 2014
  • Computer Science
  • 2014 IEEE High Performance Extreme Computing Conference (HPEC)
Recent technological advances in Next Generation Sequencing tools have led to increasing speeds of DNA sample collection, preparation, and sequencing. One instrument can produce over 600 Gb of genetic sequence data in a single run. This creates new opportunities to efficiently handle the increasing workload. We propose a new method of fast genetic sequence analysis using the Dynamic Distributed Dimensional Data Model (D4M) - an associative array environment for MATLAB developed at MIT Lincoln… 

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