Challenges of large-scale biomedical workflows on the cloud-a case study on the need for reproducibility of results

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn 2015-July, Issue , 2015, Pages 220-225

  Kanwal, Sehrish ^a   Lonie, Andrew ^a   Sinnott, Richard O ^a   Anderson, Charlotte ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

bioinformatics workflows; distributed compute resources; exome; NeCTAR Research Cloud; reproducibility

Indexed keywords

BIOINFORMATICS;

BIOINFORMATICS ANALYSIS; BIOINFORMATICS WORKFLOWS; CLINICAL ENVIRONMENTS; COMPUTATIONAL DEMANDS; COMPUTE RESOURCES; DATA PROCESSING PIPELINES; EXOME; REPRODUCIBILITIES;

DATA HANDLING;

EID: 84944190291     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2015.28     Document Type: Conference Paper

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