DIVE: a data intensive visualization engine

@article{Bromley2014DIVEAD,
  title={DIVE: a data intensive visualization engine},
  author={Dennis Bromley and Steven J. Rysavy and Robert Su and Rudesh D. Toofanny and Tom Schmidlin and Valerie Daggett},
  journal={Bioinformatics},
  year={2014},
  volume={30 4},
  pages={
          593-5
        }
}
SUMMARY Modern scientific investigation is generating increasingly larger datasets, yet analyzing these data with current tools is challenging. DIVE is a software framework intended to facilitate big data analysis and reduce the time to scientific insight. Here, we present features of the framework and demonstrate DIVE's application to the Dynameomics project, looking specifically at two proteins. AVAILABILITY AND IMPLEMENTATION Binaries and documentation are available at http://www… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Structural consequences of mutations to the -tocopherol transfer protein associated with the neurodegenerative disease ataxia with vitamin

  • D Bromley
  • E deficiency. Biochemistry,
  • 2013

Structural basis for understanding oncogenic P53 mutations and designing rescue drugs

  • Joerger, A.C
  • Proc. Natl Acad. Sci
  • 2006