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GalaxyGeneList - short : datafile for training

Created: 2013-08-29 10:20:47 | Last updated: 2013-08-29 10:22:02

Credits: Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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HD chromatin analysis

Created: 2013-08-28 12:17:37 | Last updated: 2016-10-28 15:02:27

6 items in this pack

Comments: 0 | Viewed: 93 times | Downloaded: 22 times

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

Optimization of retention time prediction (1)

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The workflow uses RTCalc from the TPP toolbox to perform two different retention time predictions. The third branch uses a linear retention time predictor (Palmblad et al., 2002). The workflow has a flag that switches on a specific branch.

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

Credits: Sonja Holl Yassene Magnus Palmblad

Attributions: Retention Time Prediction with X!Tandem

Extracts metabolites from a GPML pathway d... (1)

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This Groovy scripts starts with a WikiPathways identifier, downloads the GPML, and uses the Groovy XmlParser to extract metabolites for which it reports the label, and if available, database and identifier.

Created: 2013-08-11 | Last updated: 2013-08-11

Credits: Egon Willighagen

ENM SVM workflow used for optimization (1)

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This workflow was used for the optimization of the SVM algorithm from the openModeller toolbox (http://openmodeller.sourceforge.net). The workflow uses 10-fold cross-validation and then calculates the average AUC, which can be used as fitness value during parameter optimization.

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

Credits: Sonja Holl Renato De Giovanni

ENM Maxent workflow used for optimization (1)

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This workflow was used for the optimization of the Maxent algorithm from the openModeller toolbox (http://openmodeller.sourceforge.net/). The workflow uses 10-fold cross-validation and then calculates the average AUC, which can be used as fitness value during parameter optimization.

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

Credits: Sonja Holl Renato De Giovanni

WebCrawl-RapidMiner (1)

WebCrawl-RapidMiner

Created: 2013-08-06