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Items tagged with "BioAID" (18)

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Packs (2)

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Pack AIDA demo pack

Created: 14/12/08 @ 21:35:44 | Last updated: 01/05/09 @ 17:35:26

 Pack with AIDA demo material

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Pack Supporting material for Roos et al., BMC Bioinformatics, SWAT4LS supplement (2009)

Created: 15/05/09 @ 15:45:33 | Last updated: 15/05/09 @ 16:05:01

Supporting material for BMC Bioinformatics, supplement for Semantic Web Applications and Tools for Life Science (2009) Structuring and extracting knowledge for the support of hypothesis generation in molecular biology Marco Roos, M. Scott Marshall, Andrew P. Gibson, Martijn Schuemie, Edgar Meij, Sophia Katrenko, Willem Robert van Hage, Konstantinos Krommydas, Pieter W. Adriaans Acknowledgements We thank the myGrid team and OMII-UK for their support in applying their e-Science tools, and M...

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Network-member Semantic_BioAID_collaboration

Created: Friday 22 August 2008 @ 10:49:27 (BST)

Group for collaboration of Andy, Scott, and Marco.

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Workflows (15)
Taverna 1

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Workflow ProteinSynonymsToQuery (v2)

Created: 03/10/07 @ 18:36:10 | Last updated: 13/11/07 @ 23:47:41

Credits: User Marco Roos User Martijn Schuemie Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Proteinsynonymstoquery_26040
This workflow uses Martijn Schuemie's protein synonym service to produce synonyms and a new query string from the input query term. The service is limited to proteins, enzymes and genes. An input query that is a boolean string will be split and processed, but the boolean logic of the input query will be lost. Workflow URL: http://rdf.adaptivedisclosure.org/~marco/BioAID/Public/Workflows/BioAID/ProteinSynonymsToQuery.xml

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Taverna 1

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Workflow BioAID_ProteinToDiseases (v1)

Created: 14/11/07 @ 12:47:57 | Last updated: 15/11/07 @ 09:00:44

Credits: User Marco Roos User Martijn Schuemie Network-member AID

Attributions: Workflow BioAID_DiseaseDiscovery

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_proteintodiseases_16160
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 ...

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Taverna 1

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Workflow BioAID_protein_discovery (v1)

Created: 14/11/07 @ 12:46:33 | Last updated: 15/11/07 @ 09:01:13

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_protein_discovery_1051
This workflow finds proteins relevant to the query string via the following steps: 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 Retrieve documents: finds relevant documents (abstract+title) based on query (edit maxHits to change the default maximum number of documents returned) Discover proteins: extract proteins discovered in the set of relevant abstracts. Services by...

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Taverna 1

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Workflow BioAID_DiseaseDiscovery (v3)

Created: 12/11/07 @ 22:39:04 | Last updated: 15/12/08 @ 20:47:51

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_diseasediscoveryworkflow_070904_1__1_
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...

Rating: 4.0 / 5 (2 ratings) | Versions: 3 | Reviews: 0 | Comments: 2 | Citations: 0

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Taverna 1

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Workflow DiscoverProteinLink (v2)

Created: 03/10/07 @ 18:36:12 | Last updated: 15/11/07 @ 09:02:44

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Discoverproteinlink_6189
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 ...

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Taverna 1

Original Uploader

Workflow Discover_proteins_from_text (v2)

Created: 15/11/07 @ 08:58:00 | Last updated: 15/11/07 @ 09:12:34

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Discover_proteins_from_text_18980_2
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.

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Taverna 1

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Workflow BioAID_Discover_proteins_from_text_plus_synonyms (v1)

Created: 15/11/07 @ 09:40:24

Credits: User Marco Roos User Martijn Schuemie Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_discover_proteins_from_text_plus_synonyms_16131
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.

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Taverna 1

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Workflow Discover_entities (v2)

Created: 10/12/07 @ 21:48:34 | Last updated: 10/12/07 @ 22:54:42

Credits: User Marco Roos User Sophia katrenko Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Discover_entities_29989_2
This workflow contains the 'Named Entity Recognize' web service from the AIDA toolbox, created by Sophia Katrenko. It can be used to discover entities of a certain type (determined by 'learned_model') in documents provided in a lucene output format. Known issues: The output of NErecognize contains concepts with / characters, breaking the xml. For post-processing its results it is better to use string manipulation than xml manipulations. The output is per document, which means entities will ...

Rating: 5.0 / 5 (1 rating) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0

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Taverna 1

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Workflow Extract_proteins (v2)

Created: 10/12/07 @ 22:10:51 | Last updated: 10/12/07 @ 22:30:53

Credits: User Marco Roos

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Extract_proteins_31269_2
This workflow filters protein_molecule-labeled terms from an input string(list). The result is a tagged list of proteins (disregarding false positives in the input). Internal information: This workflow is a copy of 'filter_protein_molecule_MR3' used for the NBIC poster (now in Archive).

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Taverna 1

Original Uploader

Workflow Link_protein_to_OMIM_disease (v1)

Created: 10/12/07 @ 22:13:35

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Link_protein_to_omim_disease_31835_1
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Taverna 1

Original Uploader

Workflow Lucene_bioquery_optimizer_MR1 (v1)

Created: 10/12/07 @ 22:14:26

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Lucene_bioquery_optimizer_mr1_7699_1
This workflow does four things: it retrieves documents relevant for the query string it discovers entities in those documents, these are considered relevant entities it filters proteins from those entities (on the tag protein_molecule) it removes all terms from the list produced by 3 (query terms temporarily considered proteins) ToDo Replace step 4 by the following procedure: 1. remove the query terms from the output of NER (probably by a regexp matching on what is inside the tag, ...

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Taverna 1

Original Uploader

Workflow Retrieve_bio_documents (v2)

Created: 10/12/07 @ 22:15:54 | Last updated: 10/12/07 @ 22:45:49

Credits: User Marco Roos User Edgar Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Retrieve_bio_documents_524_2
This workflow retrieves relevant documents, based on a query optimized by adding a string to the original query that will rank the search output according to the most recent years. The added string adds years with priorities (most recent is highest); it starts at 2007.

Rating: 4.5 / 5 (2 ratings) | Versions: 2 | Reviews: 0 | Comments: 2 | Citations: 0

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Taverna 1

Original Uploader

Workflow Retrieve_documents_MR1 (v1)

Created: 10/12/07 @ 22:17:00

Credits: User Marco Roos User Edgar Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Retrieve_documents_mr1_16960_1
This workflow applies the search web service from the AIDA toolbox. Comments: This search service is based on lucene defaults; it may be necessary to optimize the querystring to adopt the behaviour to what is most relevant in a particular domain (e.g. for medline prioritizing based on publication date is useful). Lucene favours shorter sentences, which may be bad for subsequent information extraction.

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Taverna 1

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Workflow Demo_DiseaseDiscovery_byHumanUniprot_scaffold (v1)

Created: 10/12/07 @ 23:10:00

Credits: User Marco Roos Network-member AID

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Demo_diseasediscovery_byhumanuniprot_scaffold_28715_1
This workflow finds disease relevant to the query string via the following steps: 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. Retrieve documents: finds 'maximumNumberOfHits' relevant documents (abstract+title) based on query (the AIDA service inside is based on Apache's Lucene)...

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Taverna 1

Original Uploader

Workflow BioAID_ProteinDiscovery_filterOnHumanUniprot_perDoc_html (v11)

Created: 29/02/08 @ 01:34:47 | Last updated: 28/05/09 @ 12:21:06

Credits: User Marco Roos User Martijn Schuemie Network-member AID Network-member AID_myGrid_collaboration

Attributions: Workflow BioAID_DiseaseDiscovery

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Bioaid_proteindiscovery_filteronhumanuniprot_perdoc_html
This workflow finds proteins relevant to the query string via the following steps: A user query: a single gene/protein name. E.g.: (EZH2 OR "Enhancer of Zeste"). Retrieve documents: finds 'maximumNumberOfHits' relevant documents (abstract+title) based on query (the AIDA service inside is based on Apache's Lucene) Discover proteins: extract proteins discovered in the set of relevant abstracts with a 'named entity recognizer' trained on genomic terms using a Bayesian approach; the AIDA serv...

Rating: 0.0 / 5 (0 ratings) | Versions: 11 | Reviews: 0 | Comments: 1 | Citations: 0

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