The PALOMA Eclipse Plug-in User Manual

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Transcription:

The PALOMA Eclipse Plug-in User Manual Cheng Feng April 28, 2015 Contents 1 Installation Instructions 2 2 Creating a New Project 4 3 Parse a PALOMA Model 4 4 Time-series Analysis 5 4.1 Performing stochastic simulation using PALOMA....... 5 4.2 Exporting Matlab Scripts for Moment-closure approximation 7 1

1 Installation Instructions First, download a copy of the Eclipse platform with Xtext features from http://eclipse.org/xtext/download.html. Once you have Eclipse and Xtext features downloaded, then, open the Eclipse IDE, choose Help Install New Software (see Figure 1). Figure 1: Install New Software The wizard dialogue box that pops up will assist you through the installation process. Click on the Add button at the upper right hand side of the window and add the following update site (see Figure 2): PALOMA http://groups.inf.ed.ac.uk/paloma/palomaupdatesite/ Figure 2: Adding a Repository in the Eclipse workbench 2

Then, select the PALOMA SDK feature as shown in Figure 3. click on Next. Then Figure 3: Select the PALOMA SDK feature Eclipse will determine what plug-ins are required and then display the results (see Figure 4). Click Next. Figure 4: Review items to be installed Then, accept the terms of the licence agreement before clicking on Finish (see Figure 5). 3

Figure 5: Review licenses 2 Creating a New Project From the File menu choose New Project. This will launch the New Project wizard and you should choose General Project to create a new project where you will store your PALOMA models. Choose Next and give your project a name such as PALOMA-Examples. Choose Finish. You now have a project which you can see in the Navigator view. Choose File New Other and then choose General File. Press Next. Choose the parent folder to be the folder which contains the project which you just created. Choose a file name for your new file which ends in.paloma (for example, example.paloma). Press Finish. You now should see that the file is opened in the editor and that the Problems view reports a problem with the file because it is an empty file, and does not contain any PALOMA definitions. To see what a PALOMA model looks like, please download the example model from http://groups.inf.ed.ac.uk/paloma/ example.paloma. 3 Parse a PALOMA Model To parse a PALOMA model, you simply need to get your mouse focus on the PALOMA file, there will be a PALOMA menu appearing on the Eclipse menu bar. Click the PALOMA menu, a drop-down command list will show up. Click the parse command, the model will be parsed and the parsing result will show on the console view (see Figure 6). 4

Figure 6: Parse a PALOMA model 4 Time-series Analysis Once the model has been parsed successfully, you can do time-series analysis of your model which including stochastic simulation using Gillespie s algorithm and moment-closure approximation by exporting Matlab ODE scripts. 4.1 Performing stochastic simulation using PALOMA To perform stochastic simulation, click the launch simulation command (see Figure 7). Figure 7: Launch simulation Then, set the number of simulation runs and the time length of each run as shown in Figure 8, and click start simulation. 5

Figure 8: Simulation options Once the simulation is finished, you can click the plot command under the PALOMA menu. Then, you just need to choose variables you want to plot, and click plot in the pop-up dialogue (see Figure 9). Figure 9: Choose variables to plot The simulation result will be plotted in a pop-up graph, and you can save it as a.png file (see Figure 10). Figure 10: Plot result 6

4.2 Exporting Matlab Scripts for Moment-closure approximation To export Matlab scripts for moment-closure approximation, you only need to click the export ODE script command under the PALOMA menu. Then, choose variables you want to investigate, and click export in the pop-up dialogue (see Figure 11). Figure 11: ODE export options You are also allowed to choose the directory to put the script files as shown in Figure 12. Figure 12: Plot result The generated scripts are directly runnable in Matlab. 7