Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The explosion of data in the biological community requires scalable and flexible portals for bioinformatics. To help address this need,  proposed characteristics needed for rigorous, reproducible, and collaborative resources for data-intensive science. Implementing a system with these characteristics exposed challenges in user interface, data distribution, and workflow description/execution.  describe ongoing responses to these and other challenges. Our Data-Action-Queue design pattern addresses user interface and system organization concepts. A dynamic data distribution mechanism lays the foundation for the management of persistent datasets. Makeflow facilitates the simple description and execution of complex multi-part jobs and forms the kernel of a module system poring diverse bioinformatics applications. Our improved b portal, Biocompute 2.0, has been in production use since the summer of 2010. Through it and its predecessor,  have provided over 56 years of CPU time through its five modules—BLAST, SSAHA, SHRIMP, BWA, and SNPEXP—to research groups at three universities. ,  describe the goals and interface to the system, its architecture and performance, and the insights gained in its development. Copyright © 2011 John Wiley & Sons, Ltd.
['Rory Carmichael', 'Patrick Braga-Henebry', 'Douglas Thain', 'Scott J. Emrich']
I am writing a research paper on a idea Biocompute 2.0: an improved collaborative workspace for data intensive bio-science
[{"from": "human", "value": "I am writing a research paper on a idea Biocompute 2.0: an improved collaborative workspace for data intensive bio-science"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The explosion of data in the biological community requires scalable and flexible portals for bioinformatics. To help address this need,  proposed characteristics needed for rigorous, reproducible, and collaborative resources for data-intensive science. Implementing a system with these characteristics exposed challenges in user interface, data distribution, and workflow description/execution.  describe ongoing responses to these and other challenges. Our Data-Action-Queue design pattern addresses user interface and system organization concepts. A dynamic data distribution mechanism lays the foundation for the management of persistent datasets. Makeflow facilitates the simple description and execution of complex multi-part jobs and forms the kernel of a module system poring diverse bioinformatics applications. Our improved b portal, Biocompute 2.0, has been in production use since the summer of 2010. Through it and its predecessor,  have provided over 56 years of CPU time through its five modules\u2014BLAST, SSAHA, SHRIMP, BWA, and SNPEXP\u2014to research groups at three universities. ,  describe the goals and interface to the system, its architecture and performance, and the insights gained in its development. Copyright \u00a9 2011 John Wiley & Sons, Ltd."}]