"A cost-effective approach to improving performance of big genomic data ..."

Christopher Smowton et al. (2017)

> Home

Details and statistics

DOI: 10.1016/J.FUTURE.2015.11.011

access: closed

type: Journal Article

metadata version: 2020-10-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/fgcs/SmowtonBAMPDX17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fgcs/SmowtonBAMPDX17
Christopher Smowton, Andoena Balla, Demetris Antoniades, Crispin J. Miller, George Pallis, Marios D. Dikaiakos, Wei Xing:
A cost-effective approach to improving performance of big genomic data analyses in clouds. Future Gener. Comput. Syst. 67: 368-381 (2017)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.