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.
| Original language | American English |
|---|---|
| State | Published - Jul 1 2010 |
Keywords
- Cloud
- Hadoop
- Map-Reduce
- NMR
- Scientific Workflow
- Taverna
- Workflow
Disciplines
- Bioinformatics
- Communication
- Communication Technology and New Media
- Computer Sciences
- Databases and Information Systems
- Life Sciences
- OS and Networks
- Physical Sciences and Mathematics
- Science and Technology Studies
- Social and Behavioral Sciences