The Biological applications such as Gene and Protein analysis integrate and analyze biological data for the research in many
bioinformatics and other bio related fields. Such applications are used under many large scale scientific applications and help
in computing, integrating data, execute the analysis, automate the process by using information retrieved by different tasks and
computational procedures to assist the scientists in scientific discovery and data distribution. Grid based and/or web based scientific
workflow tools are used for bioinformatics related complex research to make scientists and researchers work easier. On average, scientists
spend about 80% of their time assembling data to prepare for analysis. This is due largely in part to the fact that many of these resources
required for data processing must be gathered from an external source. The best of these resources, however, are scattered across the
globe. They are hosted at universities, institutes, and laboratories throughout the world. To bring all of these resources together by hiding
system, network, and application level heterogeneity issues are challenging.
Usually, biological applications involve four types of resources: data sources, tools (software packages), application development
platforms, and computing resources. In this architecture
Biological data sources and tools can be implemented as
software as a services in the cloud
Application development platforms can be implemented as
platforms as a service in the cloud
Data storage, network, and hardware requirements such as processing can be implemented as
Infrastructure as a service in the
In this research we have undertaken the task of design and development of the Bio-Ecosystem.
Janaka Balasooriya is a faculty member in the school of Computing, Informatics and Decision Systems Eng at Arizona State University, Tempe campus. Janaka?s research interests are in the domains of Distributed Computing, Mobile Computing, and Bioinformatics. His current research projects include developing middleware for distributed Web service integration, Web based application development environments for web service workflows, and service oriented databases, and biological data and tool integration in Cloud.
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals