Supercomputing for the parallelization of whole genome analysis

@article{Puckelwartz2014SupercomputingFT,
  title={Supercomputing for the parallelization of whole genome analysis},
  author={Megan J. Puckelwartz and Lorenzo L. Pesce and Viswateja Nelakuditi and Lisa Dellefave-Castillo and Jessica R. Golbus and Sharlene M. Day and Thomas P. Cappola and Gerald W. Dorn and Ian T. Foster and Elizabeth M. McNally},
  journal={Bioinformatics},
  year={2014},
  volume={30 11},
  pages={1508-13}
}
MOTIVATION The declining cost of generating DNA sequence is promoting an increase in whole genome sequencing, especially as applied to the human genome. Whole genome analysis requires the alignment and comparison of raw sequence data, and results in a computational bottleneck because of limited ability to analyze multiple genomes simultaneously. RESULTS We now adapted a Cray XE6 supercomputer to achieve the parallelization required for concurrent multiple genome analysis. This approach not… CONTINUE READING
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ELAND : Efficient Large - Scale Alignment of Nucleotide Databases

  • A. Cox
  • 2007
Highly Influential
10 Excerpts

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3

  • P Cingolani
  • Fly (Austin),
  • 2012

A framework for variation discovery and genotyping using next-generation DNA sequencing data

  • DePristo, M.A
  • Nat. Genet.,
  • 2011

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