This paper evaluates various cloud computing technologies and resources for building a system biology knowledge base system. This system will host a huge amount of data and contain a flexible sets of workflows to operate on these data. It will enable system biologist to share their data and algorithms to allow research results to be reproduced, shared, and reused across the system biology community.
Revised: March 8, 2011 |
Published: December 2, 2010
Citation
Gorton I., Y. Liu, and J. Yin. 2010.Exploring Architecture Options for a Federated, Cloud-based System Biology Knowledgebase. In Exploring Architecture Options for a Federated, Cloud-based System Biology Knowledgebase, November 30 - December 3, 2010, Indianapolis, IN, edited by J Qui, G Zhao and C Rong, 218. Los Alamitos, California:IEEE Computer Society.PNNL-SA-76504.doi:10.1109/CloudCom.2010.79