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FACEJava represents a Java guide execution for initial variations of Gating-ML (and Compensation-ML, Transformation-ML, and FlowRDF, that are now included in Gating-ML but used to be separated proposals).

FACEJava represents a Java guide execution for initial variations of Gating-ML (and Compensation-ML, Transformation-ML, and FlowRDF, that are now included in Gating-ML but used to be separated proposals).

FACEJava is being updated to reflect the present ACS, Gating-ML, NetCDF, along with other proposals.

All of the FACEJava code is licensed beneath the LGPL.

FACEFlow

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FACEFlow is really a command-line t l which performs information analysis of FCS files Gating-ML that is using and Transformation-ML files. It takes relations between FCS files and the other analysis files through either command-line arguments or in FlowRDF files. It processes the relations and outputs brand new FCS files for each for the final analysis results.

Use

The section that is following the basic principles about how the FACEFlow application can be called. A lot more information about how to use FACEFlow are available in the FACEFlow.README.txt file included in scout live chat the distributions.

With FlowRDF data

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Several RDF file can be given and each are processed in turn. Observe that each file is considered to be totally separate and relations in different files will perhaps not be merged together.

Additional Options

The options that are following in both instances

-d utilized to specify which directory the outputted FCS files must be written to. FACEFlow defaults to the current directory for FCS file output. -q Suppresses all the logging output generally produced by FACEFlow to the console as it processes the relations. -r Performs a test run where all relations are prepared (i.e., files are loaded and analysis is carried out), but no brand new FCS files are outputted.