Harnessing cloud computing with Galaxy Cloud

Journal name:
Nature Biotechnology
Year published:
Published online

To the Editor:

Continuing evolution of DNA sequencing has transformed modern biology. Lower sequencing costs coupled with novel sequencing-based assays have led to rapid adoption of next-generation sequencing across diverse areas of life sciences research1, 2, 3, 4. Sequencing has moved out of the genome centers into core facilities and individual laboratories where any investigator can access it for modest and progressively declining cost. Although easy to generate in tremendous quantities, sequence data are still difficult to manage and analyze. Sophisticated informatics techniques and supporting infrastructure are needed to make sense of even conceptually simple sequencing experiments, let alone the more complex analysis techniques being developed. The most pressing challenge facing the sequencing community today is providing the informatics infrastructure and accessible analysis methods needed to make it possible for all investigators to realize the power of high-throughput sequencing to advance their research.


  1. Schatz, M.C., Langmead, B. & Salzberg, S.L. Nat. Biotechnol. 28, 691693 (2010).
  2. Lieberman-Aiden, E. et al. Science 326, 289293 (2009).
  3. Pepke, S., Wold, B. & Mortazavi, A. Nat. Methods 6, S22S32 (2009).
  4. Wang, Z., Gerstein, M. & Snyder, M. Nat. Rev. Genet. 10, 5763 (2009).
  5. Stein, L. Genome Biol. 11, 207 (2010).
  6. Langmead, B., Hansen, K.D. & Leek, J.T. Genome Biol. 11, R83 (2010).
  7. Langmead, B., Schatz, M.C., Lin, J., Pop, M. & Salzberg, S.L. Genome Biol. 10, R134 (2009).
  8. Schatz, M.C. Bioinformatics 25, 13631369 (2009).
  9. The 1000 Genomes Project Consortium. Nature 467, 10611073 (2010).
  10. Goecks, J., Nekrutenko, A. & Taylor, J. Genome Biol. 11, R86 (2010).
  11. Afgan, E. et al. in Guide to e-Science: Next Generation Scientific Research and Discovery (ed. Yang, K.) 35 (Springer, New York, 2011).
  12. Afgan, E. et al. BMC Bioinformatics 11 Suppl 12, S4 (2010).
  13. DiMauro, S. Mitochondrion 4, 799807 (2004).
  14. Taylor, R.W. & Turnbull, D.M. Nat. Rev. Genet. 6, 389402 (2005).
  15. Goto, H., Dickins, B., Afgan, E., Paul, I.M., Taylor, J., Makova, K.D., Nekrutenko, A. Genome Biol. 12, R59 (2011).

Download references

Author information


  1. Departments of Biology and Mathematics & Computer Science, Emory University, Atlanta, Georgia, USA.

    • Enis Afgan,
    • Dannon Baker &
    • James Taylor
  2. Center for Comparative Genomics and Bioinformatics, Penn State University, University Park, Pennsylvania, USA.

    • Nate Coraor,
    • Hiroki Goto,
    • Kateryna D Makova &
    • Anton Nekrutenko
  3. Department of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.

    • Ian M Paul

Competing financial interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to:

Author details

Supplementary information

PDF files

  1. Supplementary Notes and Fig. 1 (194k)

    Harnessing cloud-computing for biomedical research with Galaxy Cloud

Additional data