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Dummy example of looping (3)

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Example of looping over asynchronous services. The dummy beanshell scripts represents the operations of an asynchronous submit-status-results style service, such as EBI's InterProScan and NCBI Blast. createJob creates a temporary file with the content "0". Filename retuirned as a "job ID". checkStatus reads the job, and return state "RUNNING" as long as the content is less than 10, increasing the number for each call. (As no actual job is being run) getResults reads the file content, with...

Created: 2010-01-27 | Last updated: 2013-10-08

Credits: Stian Soiland-Reyes

Phylogeny Bootstrapped Algorithm (2)

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Bootstrapped sequences algorithm reads in a data set, and produces multiple data sets from it by bootstrap resampling. http://pro.genomics.purdue.edu/cgi-bin/emboss/help/fseqboot

Created: 2010-01-13 | Last updated: 2010-11-17

Credits: Carol Lushbough

Pathways and Gene annotations for QTL region (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the Pig, Sus scrofa. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG pathway ...

Created: 2009-11-20 | Last updated: 2009-11-20

Credits: Paul Fisher

Attributions: Pathways and Gene annotations for QTL region

SigWin-detector Config-Basic (2)

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Detects significant windows in a sequence. Input: A space-delimited file with (at least) one column containing the input sequence E= {E1, E2, …, EN}. A two-line header should precede the data. Input file example. Output: (1) A file containing the detected significant windows for each label. Each data row represents a stretch of consecutive significant windows. Column 1 gives the window size and columns 2 and 3 give the first and last significant windows in the stretch. Output file e...

Created: 2009-10-09 | Last updated: 2010-04-23

Credits: Adambel

DNA sequence analysis pilot (1)

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  http://amc-app1.amc.sara.nl/twiki/bin/view/         Workflow-based  DNA sequence analysis on the Dutch Life Science Grid, presented as Application Showcase at the NBIC Conference 2009, Lunteren, The Netherlands, 17 & 18 March 2009. http://www.biomedgrid.it/programme may 15th 2009. Hands on workflow: grid-enabled medical imaging  (Johan Montagnat – Tristan Glatard)  

Created: 2009-07-10 | Last updated: 2009-11-30

Credits: Angela Luijf Glatard

Using CQL to query protein sequence data (1)

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To query protein sequence infomation out of 3 caGrid data services: caBIO, CPAS and GridPIR Adapted from http://www.myexperiment.org/workflows/600

Created: 2009-05-07

Credits: Stian Soiland-Reyes

Attributions: Using CQL to query protein sequence data

DOI Record Generator (1)

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This workflow generates DOI record files for deposit, using data set metadata for the FLOSSmole project. It reads in an input file generated from a SQL query from an eprints database, and transforms the parts of the source file as necessary to create a comprehensive DOI deposit record. It also generates DOIs for the data sets. These metadata are inserted into an XML record template (based on the std-doi.xsd schema) and the individual resources are aggregated into a single file.

Created: 2009-04-29

Credits: Andrea Wiggins

Attributions: Data Set Metadata Generator

Run XMPP cloud services. (2)

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Basic workflow indicating how a XMPP service can be called with XML input and output. Source code for the activity is available from: github.com/egonw/xws-taverna/tree/master That page explains you how to install the plugin you must install on top of Taverna 2.0. The workflow will not work otherwise.

Created: 2009-04-25 | Last updated: 2010-03-22

Credits: Egon Willighagen

Workflow Pattern - Structured Discriminato... (1)

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This workflow is an alternative GWorkflowDL representation of a structured discriminator (1-out-of-M Join) that invokes C after the first invocation of A or B (M=2). All next (M-1) invocations of A or B are ignored for the same data group. Other tokens on the place "begin" can be processed recurrently if they belong to another data group. Please note that the transitions "C" and "ignore" have different priorities (not shown in the graph) that make the net determ...

Created: 2009-01-20

Credits: Andreas Hoheisel