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Daniel Blankenberg
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If a dataset is not the proper format required by a tool, but there is a converter available, the dataset will appear as a valid option in DataToolParameters. The converted dataset will be created (and subsequently reused) when the job is executed. Conversion utilizes the job runner, and will run on the cluster. Setting metadata will invalidate the converted dataset, and a new one will be automatically generated as needed.
GALAXY ====== http://g2.bx.psu.edu/ The latest information about Galaxy is always available via the Galaxy website above. HOW TO START ============ Galaxy requires Python 2.4 or 2.5. To check your python version, run: % python -V Python 2.4.4 Before starting Galaxy for the first time, please run the setup script: % sh setup.sh If setup.sh finishes successfully, you can then proceed to starting Galaxy: % sh run.sh Once Galaxy completes startup, you should be able to view Galaxy in your browser at: http://localhost:8080 You may wish to make changes from the default configuration. This can be done in the universe_wsgi.ini file. Tools are configured in tool_conf.xml. Details on adding tools can be found on the Galaxy website (linked above). Not all dependencies are included for the tools provided in the sample tool_conf.xml. A full list of external dependencies is available at: http://g2.trac.bx.psu.edu/wiki/ToolDependencies