Exploring Taverna 2 Katy Wolstencroft myGrid University of Manchester.

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Presentation transcript:

Exploring Taverna 2 Katy Wolstencroft myGrid University of Manchester

 This tutorial is designed for those who are already familiar with Taverna and want to explore the new features of T2

 Download Taverna 2 beta from  Windows or linux If you are using either a modern version of Windows (Win2k, WinXP or vista with XP preferred) or any form of linux, solaris etc. you should download the workbench zip file. For windows users, Taverna can be unzipped and used, for linux you will also need to install GraphViz ( the appropriate rpm for your platform)  Mac OSX If you are using Mac OSX you should download the.dmg workbench file. Double-click to open the disk image and copy both components (Taverna and GraphViz) onto your hard-disk to run the application  YOU WILL ALSO NEED a modern Java Runtime Environment (JRE) or Java Software Development Kit (SDK) from Java 5 or above (this is normally already installed on modern machines)

 The Workflow Explorer is the primary editing component within Taverna. Through it you can load, save and edit any property of a workflow.  The workflow explorer is also where you find configuration details of services and advanced options like iteration and looping. We will come back to these things later

The visual representation of workflow  Shows inputs / outputs, services and control flows  Allows editing of the workflow by dragging and dropping and connecting services together  Enables saving of workflow diagrams for publishing and sharing

Lists services available by default in Taverna  ~ 3500 services  Local java services  Simple web services  Soaplab services – legacy command-line application  R Processor  BioMart database services  BioMoby services  Beanshell processor Allows the user to add new services or workflows from the web or from file systems

New services can be gathered from anywhere on the web – the default list are just a few we already know about – importing others is very straightforward Go to the DDBJ list of available web services at: These services were not designed for use in Taverna, but Taverna can use them if you supply the address of the WSDL file  Click on the DDBJ blast service ( ) and copy the web page address

 Go to the services panel in Taverna and click “import new services”. For each type of service, you are given the option to add a new service, or set of services.  Select ‘WSDL service…’ A window will pop-up asking for a web address  Enter the Blast Web service address you just copied  Scroll down to the bottom of the Services list and look at the new DDBJ service that is now included.

Go to the Services Panel  Type ‘Fasta’ into the ‘search’ box at the top of the panel (we will start with simple sequence retrieval)  You will see several services in the search results  Select ‘Get Protein FASTA’ This service returns a protein sequence in Fasta format from a database if you supply it with a sequence id Drag this service across to the workflow explorer panel

 Click on “clear” next to the services panel search box. You will see the full list of services are returned  This time search for “blast”  Find the result “searchSimple – Execute Blast” and drag that across to the workflow panel  Now we have 2 services to connect into a workflow. We will connect “Get_protein_fasta” to “SearchSimple” by right-clicking “Get_protein_fasta” and selecting “link from output output_text”

 You will then get an arrow. Drag the arrow to “searchSimple”. A box will appear asking which port you want to connect to – select “query”. Now the services are connected  If you show the service ports, you can connect directly between an output port on one service to an input port on another  Show the service ports by clicking on the blue square icon at the top of the workflow diagram (next to abc)

 Delete the data link by right-clicking on the arrow and selecting delete  Put the connection back again by clicking on “Get_protein_fasta -> Output_text” and dragging to “SearchSimple -> query”. It is often easier to connect things when you are showing the ports in this way

 We need to finish building the workflow by adding inputs and outputs. First, right-click on “get_protein_fasta ->ID” and select “connect with output from….” and “New workflow input port”  Taverna will suggest a name for your input. If this is sensible, select “ok”. A new input box will appear already connected to your workflow. Do the same for the inputs to “searchSimple ->Database” and SearchSimple -> program  Add a workflow output from “searchSimple -> Results” in the same way

 Right-click on a blank part of the workflow diagram and select “show details”  In the workflow explorer panel, the details page will open up. Add some metadata about the workflow – who is the author and what does it do  You can also add examples and descriptions for the workflow inputs by selecting them and selecting “details”  Save the workflow by going to “File -> save workflow”

 Go to “File -> run workflow”. A workflow input window will appear  Each input has its own tab with descriptions and examples as well as a panel to enter input values  In the fasta_id input, select “New value” and add a GI number (e.g )  In the database, add “SWISS”  In the program, add “blastp”  Select “run workflow” at the bottom of the panel to set the workflow going

 Taverna 2 has type-checking built into the workflow. Before you execute, it will check that all of your input and output values are syntactically correct (i.e. single values and lists). In the following few months semantic type checking will also be added.  Because of this, you have to declare the type of input you want for the workflow

 Go back to the blast workflow and right-click on the “Get_protein_fatsta_ID” input port. Select “edit workflow input port”  Change the depth to 1. This will allow you to add a list of inputs to the workflow  Run the workflow again (notice it has remembered the values you added last time). Additionally, add another GI number, for example,  This time the workflow will iterate over both

 Taverna 2 supports data streaming. When you are iterating, Taverna 2 will start downstream processors running before the upstream ones have finished. This increases efficiency and therefore speed of the workflow runs.  Load the Biomart_and_Emboss_Analysis workflow from myExperiment (workflow number 158, or follow this link: version=3http:// version=3)  Run the workflow and notice the streaming in action

 As Taverna 2 workflows run, data is collected and stored as well as the provenance of that workflow run  When a workflow is complete, you can look back at intermediate results by selecting a service in the workflow results diagram panel. An intermediate results window will pop-up showing iterations and the relationships between inputs and outputs for that service.  In the full release, browsing past workflow runs will be possible even after closing and restarting Taverna. All data and provenance is saved by default already, but a new browsing GUI is yet to be introduced

 set.pdf