myExperiment - Workflows

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Taverna 1

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Marco Roos

BioAID_DiseaseDiscovery_RatHumanMouseUnipr... (4)

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This workflow finds disease relevant to the query string via the following steps: 1. A user query: a list of terms or boolean query - look at the Apache Lucene project for all details. E.g.: (EZH2 OR "Enhancer of Zeste" +(mutation chromatin) -clinical); consider adding 'ProteinSynonymsToQuery' in front of the input if your query is a protein. 2. Retrieve documents: finds 'maximumNumberOfHits' relevant documents (abstract+title) based on query (the AIDA service inside is based on Apa...

Created: 2008-12-15 | Last updated: 2011-08-11

Credits: Marco Roos AID

Taverna 1

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Hamish McWilliam

EBI_InterProScan (3)

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Note: the WSInterProScan web service used by this workflow is no longer available haveing been replaced by the EMBL-EBI's InterProScan (REST) (http://www.ebi.ac.uk/Tools/webservices/services/pfa/iprscan_rest) and InterProScan (SOAP) (http://www.ebi.ac.uk/Tools/webservices/services/pfa/iprscan_soap) web services. Thus the workflow described here no longer works, see the alternative workflows for the InterProScan (SOAP) service for workflows which use the new services. Perform an InterProScan ...

Created: 2008-10-26 | Last updated: 2011-04-01

Credits: Hamish McWilliam

Taverna 1

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Paul Fisher

HUMAN Microarray CEL file to candidate pat... (4)

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This workflow takes in a CEL file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the MADAT software package (MicroArray Data Analysis Tool) [http://www.bioinf.manchester.ac.uk/MADAT/index.html]. Also returned by this workflow are a list of the top differentialy expressed genes (size dependant on the number specified as input - geneNumber), which are then used to find the candidate pathways which may be influencing the observed ...

Created: 2007-10-03 | Last updated: 2009-11-26

Taverna 1

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Andrea Wiggins

Success-Abandonment-Classification (3)

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Retrieves data from FLOSSmole and from the Notre Dame SourceForge repository to compute project statistics based on releases, downloads and project lifespan. Project statistics are then used to classify projects according to the criteria set up in English & Schweik, but comparison criteria are parameterized so that a different set of criterion thresholds can be used to evaluate the project characteristics.