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db change: update dataset set extension = 'txt' where extension = 'text'; Adding support for a new data type is now as simple as adding the new type to the config file and optionally adding the type into the new sniff_order section in the config file, and adding the new class for the data type to the appropriate datatypes code. The config file now has a new section [galaxy:sniff_order] which lists the order in which datatype class sniff functions will be called (each datatype class can now optionally include its own sniff function, although not a requirement). Support for the 'text' file extension has been eliminated as we will standardize on the 'txt' file extension for the Text data type.
INTRO ===== This program requires python 2.4 or later. To check your python version type: python -V. To start a server you need to do run the server as: python universe.py This will start a server on localhost port 8080. In your browser go to: http://localhost:8080 and you should see the Galaxy environment with some default tools. To customize the tools that are loaded see tool.conf.sample To customize the way your server is ran edit universe.conf *Note* certain tools may require certain libraries to be present. (See run.sh for more details) RUNTIME ENVIRONMENT =================== The default server home will be the directory where the program starts. You can use the UNIVERSE_HOME environment variable to point to a different server home. The path that the UNIVERSE_HOME variable points to must be a directory with the following subdirectories: database database/files database/import tools OPTIMIZED LIBRARIES =================== To allow python to load optimized libraries the path to these must be listed in the python path. See the previous section or run.sh for an example. Loading the optimized Cheetah templating libraries can lead to significant performance gains. At startup you the log message: Optimized Namemapper: True|False will tell you whether the optimized Cheetah template was loaded (or not). The log message: database type: dbhash|.... will tell you what kind of underlying database is the server using. Dbhash stands for the BerkleyDB. The server should work fine with other libraries as well but BerkleyDB is provides the most reliable and efficient storage. TOOL DEVELOPMENT ================ See the wiki pages for more details: http://g2.bx.psu.edu CREATING A RELEASE ================== type: python setup.py sdist
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