Kepler: An Extensible System for Design and Execution of Scientific Workflows
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
DiscoveryLink: a system for integrated access to life sciences data sources
IBM Systems Journal - Deep computing for the life sciences
K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
The GEON portal: accelerating knowledge discovery in the geosciences
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences
Future Generation Computer Systems
Efficient lineage tracking for scientific workflows
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
HI'11 Proceedings of the 2011 international conference on Human interface and the management of information - Volume Part I
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
Embedding CIPRES science gateway capabilities in phylogenetics software environments
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
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In the last decade, many projects have tried to deal with the integration of biological resources. Web portals have flourished online, each providing data from a public provider. Although these online resources are available with a set of manipulation tools, scientists, researchers, and students often have to shift from one resource to another to accomplish a particular task. Making a rich tool set available along with a variety of databases, data formats, and computational capabilities is a complex task. It requires building a versatile environment for data integration, data manipulation, and data storage. In this paper, we study the requirements and report the architectural design of a web application, code named SWAMI, which aims at integrating a rich tool set and a variety of biological databases. The suggested architecture is highly scalable in terms of adding databases and new manipulation tools.