Workflows

Vector field lines in the planetary models... (1)

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This is a simple workflow using one of the webservice provided by IMPEx. It calculates the field lines for the vector field requested for the starting points provided for a particular planetary model.

Created: 2013-09-10

Credits: David PS

Particle trajectories in the planetary mod... (1)

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This is a simple workflow using one of the webservice provided by IMPEx. It calculates the particle trajectories for the defined particle (initial position, velocity, mass and charge) for a particular planetary model.

Created: 2013-09-10

Credits: David PS

Interpolate values on planetary models pro... (2)

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This is a simple workflow using one of the webservice provided by IMPEx. It calculates the value of different variables, at the cordinates that a spacecraft pass through for the time range provided, for a particular planetary model. The orbital values of the spacecraft are obtained by AMDA.

Created: 2013-09-10 | Last updated: 2013-09-10

Credits: David PS

Interpolate values on planetary models pro... (1)

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This is a simple workflow using one of the webservice provided by IMPEx. It calculates the value of different variables, at the cordinates provided, for a particular planetary model.

Created: 2013-09-10

Credits: David PS

VOTable on the net maker for IMPEx (1)

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This simple workflow is a way to create a simple votable that uses the standards from IMPEx and provides an URL for the created VOTable enabling re-use of it through the IMPEx services

Created: 2013-09-10

Credits: David PS

RCOMM 2013 Challenge: 2. Solution (Re-infe... (1)

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This process is the solution for one of the RCOMM 2013 data mining challenge tasks which participants had to solve within 10 minutes. The task was this: Given (1) a variant of the Golf data set (found in the //Samples/data folder) where the attribute Outlook is missing, (2) a decision tree model built on the complete Golf data set, and (3) a utility data set containing only the three distinct values of Golf, create an example set based on the incomplete data set from (1) containing all po...

Created: 2013-09-09

RCOMM 2013 Challenge: 1. Generate input data (1)

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This process generates the input for one of the RCOMM 2013 data mining challenge tasks. For a description, please refer to the solution process.

Created: 2013-09-09 | Last updated: 2013-09-09

BioCyc:Reaction Scheme (1)

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The purpose of this workflow is to determine all the enzymes/genes that participate in a radius of 2 reaction steps around a given metabolite. Broadly, the scheme involves the following steps: 1. determine all the reactions that the given metabolite participates in 2. determine all the compounds that participate in these reactions 3. filter certain compounds like H2O, ATP etc to avoid non-specific connections 4. determine all the reactions that the compounds passing through step 3 participate...

Created: 2013-09-06

Credits: Harish Dharuri

BioCyc:Pathway Scheme (1)

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The purpose of the workflow is to determine all the genes operating in BioCyc pathways that the input metabolite participates in. The overall idea is to generate a set of genes that potentially influence the levels of a metabolite due to the common pathways that they share.

Created: 2013-09-06

Credits: Harish Dharuri

Print R expression (3)

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This is a very small nested workflow to convert an R expression to the same textual representation that you see displayed when using the R command line.

Created: 2013-09-05 | Last updated: 2013-10-16

Credits: Jon Giddy

BioVeL workshop reduced full workflow (1)

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The workflow is a reduced version of the main workflow. It can be used to call web services to support biodiversity research. It fetches data from GBIF. The occurrences are then used to create a model using OpenModeller, test the model and to project the model. The projection of the model is currently a "native projection" i.e. it uses the same layers as those used to create the model. The services within the workflow will allow non-native projections

Created: 2013-09-04

Credits: Katy Wolstencroft Alan Williams

Attributions:

Convert Taverna list of RExpr to R list - v2 (2)

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This workflow accepts a Taverna list of arbitrary R expressions and returns a single R expression representing an R list containing the original expressions. This workflow relies on the current Taverna behaviour of an R expression being represented by a list of strings containing the deparsed expression. If this changes, this workflow will likely break. The first BeanShell converts each R expression (actually a list of strings) to a single string. This uses implicit iteration to do this for...

Created: 2013-09-04 | Last updated: 2013-10-14

Credits: Jon Giddy BioVeL

Hello World (1)

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One of the simplest workflows possible, outputting the String Constant "Hello world!"One of the simplest workflows possible. No workflow input ports, a single workflow output port "greeting", outputting "Hello, world!" as produced by the String Constant "hello".

Created: 2013-09-04

Credits: Raul Palma

Pathway to Pubmed (1)

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This workflow takes in a list of KEGG pathway descriptions and searches the PubMed database for corresponding articles. Any matches to the pathways are then retrieved (abstracts only). These abstracts are then returned to the user.

Created: 2013-09-03

Credits: Alan Williams Paul Fisher

Attributions: Pathway to Pubmed

UnigeneID to KEGG Pathways (1)

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This workflow accepts a list of Unigene gene identifiers and returns descriptions of gene functions and a list of all pathways each gene is involved in (plus pathway image) from the KEGG database. This workflow replaces the earlier SOAP version with the new KEGG REST services

Created: 2013-09-03

Credits: Katy Wolstencroft Alan Williams Paul Fisher

Attributions: NCBI Gi to Kegg Pathways

Get concept suggestions from term (1)

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This workflow suggests concept ids that match the query term. The user can run this workflow with any term of interest as for example "human", "htt", "Transcription" etc, and will get suggestions for concept ids together with descriptions. Then can choose the concept id that matches the best to her/his needs and use it to the rest of the CPA workflows.

Created: 2013-08-31

Credits: Eleni BioSemantics

EBI NCBI BLAST filter e-value and length (1)

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The workflow queries the NCBI BLAST web service and extracts the e-values and length of the results. One of the sub-workflows filters the length first and afterwards the e-value and the other sub-workflow filters first the e-value and then the length. As the result may be different, this workflow was used for optimization purposes to find the sub-workflow performing best.

Created: 2013-08-23 | Last updated: 2014-02-06

Credits: Sonja Holl

Attributions: EBI_NCBI_BLAST

Find Labels in WikiPathways that are IUPAC... (1)

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This scripts parses a directory with WikiPathways GPML files. For each "label" it checks if the label contains an IUPAC name (using OPSIN), calculated the InChIKey (using JNI-InChI/CDK), and looks up a ChemSpider identifiers (using the ChemSpider web service).

Created: 2013-08-20

Credits: Egon Willighagen

Extracts metabolites from GPML pathway fil... (1)

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Extracts metabolites from a collection of GPML pathway files downloaded from WikiPathways, and opens structures with IUPAC names in a molecules table, using the CDK and OPSIN.

Created: 2013-08-16

Credits: Egon Willighagen

Generate Spectral Library (1)

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This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA). Copyright© 2012 Yassene Mohammed Please send your feedback, questions, comments and suggestions for improvement to y.mohammed@lumc.nl 14 November 2012 Yassene

Created: 2013-08-16

Credits: Yassene Magnus Palmblad

Imagemagick convert - tiff2tiff - compression (1)

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Converts tiff to tiff using imagemagick convert with the provided compression

Created: 2013-08-15

Credits: Markus Plangg

Biomarker Identification via EFS on the Grid (2)

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The first two components split the original data set into several sub-sampling sets. The EFS component performs the machine learning approach by executing several instances of a SVM, each of which consuming one sub-sample data set. Another level of SVM execution is added by taking bootstapping into account. The execution of all SVMs takes place in a distributed computing environment using the UNICORE-Taverna plugin. The calc_objFunc component calculates the F-measure of the ranked gene list ...

Created: 2013-08-13 | Last updated: 2013-09-24

Credits: Sonja Holl

Attributions: Biomarker Identification via RFE on the Grid

Biomarker Identification via RFE on the Grid (2)

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The first two components split the original data set into several sub-sampling sets. The RFE component performs the machine learning approach by executing several instances of a SVM, each of which consuming one sub-sample data set. The execution of the SVM takes place in a distributed computing environment, using the UNICORE-Taverna Plugin. The calc_objFunc component calculates the F-measure of the ranked gene list compared to a 'gold standard'.

Created: 2013-08-13 | Last updated: 2013-09-24

Credits: Sonja Holl

Attributions: Biomarker Identification via EFS on the Grid

X!Tandem and PeptideProphet on the Grid (1)

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The workflow performs the execution of X!Tandem and PeptideProphet from the TPP toolbox on the Grid. The execution is performed by the UNICORE Plugin for Taverna. mzXMLDecomposer/Composer is used to run the execution of X!Tandem in parallel. extract_values extract relevant information from thetandem.interact.pep.xml File. The file can then remain on the remote storage.

Created: 2013-08-13 | Last updated: 2013-09-04

Credits: Sonja Holl Yassene Magnus Palmblad

Attributions: de Bruin et al. Workflow 1 Cloud Parallel Processing of Tandem Mass Spectrometry Based Proteomics Data: X!Tandem