Document Type
Presentation
Publication Date
7-2010
Abstract
This work presents a service oriented scientific workflow approach to NMR-based metabolomics data analysis. We demonstrate the effectiveness of this approach by implementing several common spectral processing techniques in the cloud using a parallel map-reduce framework, Hadoop.
Repository Citation
Manjunatha, A.,
Anderson, P. E.,
Sahoo, S. S.,
Ranabahu, A. H.,
Raymer, M. L.,
& Sheth, A. P.
(2010). Cloud Based Scientific Workflow for NMR Data Analysis. .
https://corescholar.libraries.wright.edu/knoesis/305
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Poster presented at the 18th Annual International Conference on Intelligent Systems for Molecular Biology, Boston, MA, July 11-13, 2010.