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From biologist to web service to Taverna to myExperi...

Created: 2008-03-21 19:00:12 | Last updated: 2008-03-23 10:39:27

Credits: Marco Roos Martijn Schuemie AID myGrid

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: AVI video

Comments: 1 | Viewed: 484 times | Downloaded: 377 times

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AIDA demo pack

Created: 2008-12-14 21:35:43 | Last updated: 2009-05-01 17:35:26

5 items in this pack

Comments: 0 | Viewed: 186 times | Downloaded: 0 times

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Supporting material for Roos et al., BMC Bioinformat...

Created: 2009-05-15 15:45:32 | Last updated: 2011-08-11 10:01:23

5 items in this pack

Comments: 0 | Viewed: 142 times | Downloaded: 47 times

Discover_proteins_from_text (2)

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This workflow discovers proteins from plain text. It is built around the AIDA 'Named Entity Recognize' web service by Sophia Katrenko (service based on LingPipe), from which output it filters out proteins. The Named Recognizer services uses the pre-learned genomics model, named 'MedLine', to find genomics concepts in plain text.

Created: 2007-11-15 | Last updated: 2007-11-15

Credits: Marco Roos AID

BioAID_ProteinToDiseases (1)

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This workflow was based on BioAID_DiseaseDiscovery, changes: expects only one protein name, adds protein synonyms). This workflow finds diseases relevant to the query string via the following steps: A user query: a single protein name Add synonyms (service courtesy of Martijn Scheumie, Erasmus University Rotterdam) Retrieve documents: finds relevant documents (abstract+title) based on query Discover proteins: extract proteins discovered in the set of relevant abstracts 5. Link proteins ...

Created: 2007-11-14 | Last updated: 2007-11-15

Credits: Marco Roos Martijn Schuemie AID

Attributions: BioAID_DiseaseDiscovery_RatHumanMouseUniprotFilter

BioAID_ProteinDiscovery (8)

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The workflow extracts protein names from documents retrieved from MedLine based on a user Query (cf Apache Lucene syntax). The protein names are filtered by checking if there exists a valid UniProt ID for the given protein name.

Created: 2010-05-10 | Last updated: 2013-08-16

Credits: Marco Roos AID

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

DiscoverProteinLink (2)

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COMPETITION: For friends only: If you find any two topics that return true positives with this workflow I will buy you a bottle of wine (or equivalent). Terms: if we confirm that the protein was indeed never mentioned together with both input topics in one article, we will publish this together. ---- This workflow implements Swanson's prinicple with services from the AIDA toolbox. It tries to find proteins that link two topics, while they never mentioned together with both topics in ...

Created: 2007-10-03 | Last updated: 2007-11-15

Credits: Marco Roos AID

BioAID_Discover_proteins_from_text_plus_sy... (1)

This workflow discovers proteins from plain text and adds synonyms using Martijn Schuemie's proteins synonym service. Proteins are discovered with the AIDA 'Named Entity Recognize' web service by Sophia Katrenko (service based on LingPipe), from which output it filters out proteins. The Named Recognizer services uses the pre-learned genomics model, named 'MedLine', to find genomics concepts in plain text.

Created: 2007-11-15

Credits: Marco Roos Martijn Schuemie AID

TestIteratorStrategy_withNesting (1)

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Implementation of the iteration workaround by Tom Oin conform the Q&A below. The nested workflow 'NestedProcessor' is called that to conform to Tom's explanation. For an alternative solution using a java beanshell to clone list items see 'TestIteratorStrategy_withCloning. This workflow implements the following Q&A: Marco Roos wrote: > Dear Taverna user, > > Issue 1: Complex iteration > > I would like to perform an iteration including a dot product between > a list and a list of li...

Created: 2007-11-29

Credits: Marco Roos Tomoinn

CloneItemsInList (1)

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Utility workflow that clones an item copy_number times. You can use this to work around standard iteration strategies, e.g. in combination with the CountListItems workflow. Workflow examples: TestIterationStrategy_withClones. For an alternative approach see TestIterationStrategy_withNesting. Example I/O: input: A copy_number: 3 result: [A,A,A] input: [A,B,C] copy_number: 3 result: [[A,A,A][B,B,B][C,C,C]] input: [A,B,C] copy_number: [3,2] result: [[[A,A,A],[A,A]][[B,B,B],[B,B]],[[C,C,C],...

Created: 2007-11-29

Credits: Marco Roos

TestIteratorStrategy_withCloning (2)

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This workflow implements a strategy for this problem: > I would like to perform an iteration including a dot product between > a list and a list of lists; example: > Input: > > [1] (1) > [A,B,C] (2) > [[a,b],[c,d],[e,f]] (3) > > Desired output: > > [1Aa, 1Ab, 1Bc, 1Bd, 1Ce, 1Cf] In this implementation a java beanshell is used to clone the items in list 2 as many times per item as there are items in the sublists of list 3. The iteration stra...

Created: 2007-11-29 | Last updated: 2007-11-29

Credits: Marco Roos

BioAID_EnirchBioModelWithProteinsFromText (7)

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This workflow is for demonstration purposes only. Please contact the authors if you wish to try it. We will gladly collaborate with you. Summary This workflow extracts proteins and protein relations from Medline. Extracted protein names (symbols of at least 3 characters) are validated against mouse, rat, and human UniProt symbols, so the results are limited to these species. This workflow follows the following basic steps: it retrieves documents relevant for the query string i...

Created: 2009-05-16 | Last updated: 2009-05-16

Credits: Marco Roos Sophia katrenko Andrew Gibson M. Scott Marshall Willem van Hage Edgar Martijn Schuemie AID