UC-bioinfogrid
From EGI Knowledge Base
Use Case title: Enabling grid for the Bioinformatics community
Short description: Grid computing represents an emerging solution to deal with data produced using high throughput technology which gives researchers scalable solutions. In the Bioinformatics context the major issue at the moment is the complexity in managing files and applications in grid due to some instability of its nodes. Moreover, people that are not skilled in informatics such as biologist and physicists may find the grid is difficult to access, due to certificate based authentication.
Actors involved: Bioinformatics scientists and biologists as final users of the grid, people involved in porting applications on the grid platforms, developers of solutions to access the grid.
Related Requirement: Bioinformatics scientists and biologists need to access the grid quickly and easily in order to exploit its computational power, using for example application oriented web portals. The final aim should be the easy creation of bioinformatics workflows to be performed on the grid platform.
Pre-conditions: The grid should be more stable: data about computational resources and file storage should be always consistent with information provided by the Information Service. Moreover, short jobs inside a bioinformatics workflow should be executed in preferential queues.
Steps: The actual steps required, so that the use case can be materialised. 1. Creation of server certification in order to make grid access easier. 2. Enable the creation of application oriented portals for Bioinformatics applications 3. Define editors able to manage the parallelisation of each workflow step on the grid platform.
Post-conditions: Collecting feedback from the users to verify if their needs are satisfied by the implemented solution.
Project(s) involved: Bioinfogrid, EEla, Embrace
Application(s): A lot of Bioinformatics fields in which huge quantities of data are involved, such as genome analysis, protein function annotation, transcriptomics analysis, molecular docking drug discovery and molecular dynamics simulation.
