Nl User: Marco Roos

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Name: Marco Roos

Joined: Saturday 21 July 2007 10:43:23 (UTC)

Last seen: Thursday 28 April 2016 21:38:56 (UTC)

Email (public): m.roos [at] lumc.nl

Website: http://www.lumc.nl/con/6020/39898/909290026392525

Location: Leiden, Netherlands

Marco Roos has been credited 48 times

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My role as a biologist and bioinformatician in e-science is to help increase the usefulness of emerging information technologies for biology, while experimenting with new ways to increase insight into mechanisms related to structure and function of DNA in the cell. I experiment with technologies such as workflow, knowledge extraction from text, semantic web and virtual research environments such as myExperiment.

More information on the blog below (originally uploaded as an example for the 'NBIC on workflows' workshop in Lunteren, the Netherlands, March 2008).

http://www.myexperiment.org/blogs/15


Other contact details:

Also see my web page at the University of Amsterdam: http://home.medewerker.uva.nl/m.roos1

Interests:

Structure/function relationship of DNA in the cell, e-science, automated support for modeling biological mechanisms by knowledge extraction and semantic web technology.

Field/Industry: Biology

Occupation/Role(s): PhD, e-(bio)scientist (biology 'power-user'), biology e-Science liaison for NBIC and e-Science organisations

Organisation(s):

Leiden University Medical Centre
University of Amsterdam
NBIC
OMII-UK / myGrid

 

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Blob HTT-HPO concept profile match result

Created: 2014-10-20 08:26:32 | Last updated: 2014-10-20 08:35:28

Credits: User Marco Roos User Rajireturn Network-member BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Example Concept Profile of the Human Phenotype named 'Chorea' also referred to by as Human Phenotype Ontology concept HP_0002072.This file contains a list of concepts from the Human Phenotype Ontology, ranked according to Concept Profile Matching with the profile of huntingtin, the protein whose aberrant form is the cause of Huntington's Disease.Versions:HPO-UMLS mapping: Winnenburg, R., & Bodenreider, O. (2014). Coverage of Phenotypes in Standard Terminologies. In Proceedings...

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Blob Concept Profile of phenotype Chorea

Created: 2014-10-20 08:34:10

Credits: User Marco Roos Network-member BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Concept Profile generated from HPO term 'Chorea' via mapping to the corresponding UMLS phenotype concept.The profile contains ranked associations with Chorea conform mutual information content derived from co-occurrence in MedLine abstracts.Versions:HPO-UMLS mapping: Winnenburg, R., & Bodenreider, O. (2014). Coverage of Phenotypes in Standard Terminologies. In Proceedings of the ISMB’2014 SIG meeting “BioLINK.” Retrieved from http://phenoday2014.bio-lark.org/pdf/...

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Blob The Hypothesis for the wf4ever Demo Pack 2013

Created: 2013-01-30 14:06:43 | Last updated: 2013-01-30 14:07:25

Credits: User Marco Roos

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The hypothesis for the Demo pack created for the wf4ever demo in 2013. It is not intended for real use.

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Blob New run.sh for Taverna 2 (in case of problems with n...

Created: 2009-05-28 09:25:03

Credits: User Marco Roos

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This may help solve problems with T2 snapshot.

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Blob 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: User Marco Roos User Martijn Schuemie Network-member AID Network-member myGrid

License: Creative Commons Attribution-Share Alike 3.0 Unported License

A movie to show the principle of the round trip from a biology question via pieces of code wrapped as web services and combined into a workflow (computational experiment) in Taverna, via uploading to myExperiment and back to the biologist through myExperiment's run facility. NB: at the time of uploading this movie the runner-option was in test-phase. It is important to note that the workflow combines the work of various scientists with different expertise and some at remote locations around ...

File type: AVI video

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Workflow

Workflow Get properties of drugs for genes by Entre... (3)

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Given a Entrez gene_id the workflow extracts features of its protein (e.g. function, cellular localization and name) and properties of specific drugs for this protein (including activity, PSA, RO5, Smiles and molweight). This workflow uses 3 different services of OpenPHACTS (Target Pharmacology, Compound Information, Target Information).

Created: 2015-07-24 | Last updated: 2015-07-28

Credits: User Katerina Nosikova User Marco Roos User Eleni User Eelke van der Horst User Elizaveta Besedina

Workflow

Workflow Match concept to HPO profiles (1)

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This workflow matches a query concept to the list of Human Phenotypes. The Human Phenotypes are the subset of the Human Phenotype Ontology for which we have a mapped UMLS concept available and a concept profile. HPO-UMLS mapping: Winnenburg, R., & Bodenreider, O. (2014). Coverage of Phenotypes in Standard Terminologies. In Proceedings of the ISMB’2014 SIG meeting “BioLINK.” Retrieved from http://phenoday2014.bio-lark.org/pdf/5.pdf Concept Profile Database: July 2012

Created: 2014-10-20

Credits: User Marco Roos Network-member BioSemantics

Attributions: Workflow Match concept profiles Workflow Get concept information

Workflow

Workflow HPO-UMLS-ConceptID mapping (1)

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Generate HPO-Concept profiles via HPO-UMLS mappings. The result is a list of Concept IDs corresponding to Concept profiles for UMLS concepts that approximate HPO concepts. The output is a table of UMLS-ID, HPO- ID, COncept-ID rows.

Created: 2014-10-20

Credits: User Marco Roos Network-member BioSemantics

Workflow

Workflow 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: 2015-02-18

Credits: User Eelke van der Horst User Kristina Hettne User Marco Roos User Eleni

Attributions: Workflow Get concept suggestions from term

Workflow

Workflow OPS REST services (1)

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Library of REST services developed for the Open Pharmacological Space (OPS) by the OpenPHACTS project. Usage: 1. Copy-paste a service into your workflow 2. Add an output to responseBody 3. Run the workflow (this will produce output in XML) 4. Copy the XML output 5. Go back to the design window and add the XPath widget to the canvas 6. Link the responseBody output to the XPath widget input 7. Paste the XML output to the example window in the XPath configure window 8. Select the desired eleme...

Created: 2013-07-06

Credits: User Marco Roos Network-member Open PHACTS

Workflow

Workflow OPS_FreetextToTargetInfo (1)

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Workflow to retrieve target information for the concepts as refered to by humans (the input). Known issues: It produces error values for the concepts returned by ConceptWiki that are apparently not present in OPS (e.g. for "ezh2" and limit=10, it gives 7/10 error values vs "ezh2 (homo sapiens)" giving 2 valid values).

Created: 2013-06-18

Credits: User Marco Roos User Katy Wolstencroft User paul groth

Workflow

Workflow Free text search to Concept Wiki URI (4)

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Free text search of concept wiki using the Openphacts "Map free text to a concept url based on semantic tag" ie /search/byTag. Search for either compounds or targets depending on the input uuid for "searchType" and filter by source authority with the "branch" input

Created: 2013-06-24 | Last updated: 2013-06-24

Credits: User Ian Dunlop User Katy Wolstencroft User Marco Roos User paul groth

Workflow

Workflow GWAS to biomedical concept (3)

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Genome-Wide Association studies (GWAS) with metabolomic phenotypes yield several statistically significant SNP-metabolite associations. To understand the biological basis of the association, scientists typically dwell on identifying genes in the vicinity of the SNP and the possible pathways that the gene participates in. The information needed to arrive at an understanding of the mechanistic basis of the association requires integration of disparate data sources. The purpose of this workflow ...

Created: 2013-04-15 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Harish Dharuri User Marco Roos User Reinout van Schouwen

Workflow

Workflow Annotate a gene list with disease concepts (1)

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Purpose: Currently, this workflow takes a list of genes and a concept set as input, calculates the matching score between these and finds the concept that contributes the most to the match. Author comments: The workflow is in Beta stage. It runs, but needs more testing with different parameter settings. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/368 for functional gene annotation and knowledge discovery.

Created: 2013-02-06

Credits: User Kristina Hettne User Reinout van Schouwen User Marco Roos Network-member BioSemantics

Attributions: Workflow SNPs to Concept Set through Concept Profile Matching v2

Workflow

Workflow Match concept profiles with predefined set (2)

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Purpose of workflow: The workflow can be used to match a set of concept profiles with predefined set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2013-02-05 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Marco Roos User Reinout van Schouwen Network-member BioSemantics

Workflow

Workflow Find Supporting Documents (6)

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This workflow finds documents that serve as evidence for the association between two concepts. Results: Document titles Document identifiers There seems to be a bug at the moment, since it returns empty values.

Created: 2012-06-26 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Marco Roos User Reinout van Schouwen User Martijn Schuemie Network-member BioSemantics

Workflow

Workflow SNPs to Concept Set through Concept Profil... (6)

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Purpose: Currently, this workflow takes one SNP and a concept set as input, calculates the matching score between these, finds co-occuring documents between the query concept and the match concept, finds the concept that contributes the most to the match, and the documents that support this finding. Author comments: The workflow is in Beta stage. It runs, but needs more testing with different parameter settings. This workflow can be used together with other workflows in this pack: http://www...

Created: 2012-06-26 | Last updated: 2013-02-05

Credits: User Kristina Hettne User Eleni User Harish Dharuri User Reinout van Schouwen User Marco Roos User Martijn Schuemie Network-member BioSemantics

Attributions: Workflow Find Supporting Documents Workflow SNP_ID2EntrezGene_ID Workflow DatabaseID to ConceptID Workflow Match gene lists based on information in literature Workflow Match concept profiles Workflow Explain concept scores

Workflow

Workflow Get Concept IDs (5)

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Purpose: The workflow retrieves the concepts within a concept set. The Web service/workflow currently returns no values (bug).

Created: 2012-07-06 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Reinout van Schouwen User Martijn Schuemie User Marco Roos Network-member BioSemantics

Workflow

Workflow Find co-occurring documents (6)

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Purpose: This workflow search an indexed literature database for documents mentioning both of the input concepts. Author comments: Currently, PubMed is the underlying data source.

Created: 2012-07-13 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Reinout van Schouwen User Marco Roos User Martijn Schuemie Network-member BioSemantics

Workflow

Workflow Mining the Kegg pathway database with the ... (1)

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Genome-Wide Association studies (GWAS) with metabolomic phenotypes yield several statistically significant SNP-metabolite associations. To understand the biological basis of the association, scientists typically dwell on identifying genes in the vicinity of the SNP and the possible pathways that the gene participates in. The information needed to arrive at an understanding of the mechanistic basis of the association requires integration of disparate data sources. The purpose of this workflow ...

Created: 2013-01-30

Credits: User Marco Roos

Workflow

Workflow List Concept Sets (3)

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Pupose: The workflow returns a list of all Concept Set IDs currently available in the database. The Concept Sets have an hierarchical structure that can be inferred by referring to the parent Concept Set ID.

Created: 2012-07-06 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Marco Roos User Reinout van Schouwen User Martijn Schuemie Network-member BioSemantics

Workflow

Workflow Match concept profiles (6)

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Purpose of workflow: The workflow can be used to match a set of concept profiles with another set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2011-12-02 | Last updated: 2014-07-14

Credits: User Marco Roos User Kristina Hettne User Martijn Schuemie User Reinout van Schouwen

Workflow

Workflow Get concept information (5)

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The workflow takes a (list of) concept ID(s) as input and returns the profile, ID, definition and name of the concept.

Created: 2012-07-06 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Reinout van Schouwen User Marco Roos User Martijn Schuemie Network-member BioSemantics

Workflow

Workflow DatabaseID to ConceptID (7)

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Purpose: This workflow maps input Identifiers, common database identifiers, to the Concept Identifiers from the EMC ontology. Result: Concept Identifiers from the EMC ontology. Comments: Database: one of CAS, DRUG, etc. The supported databases are listed below (database, description, example). CAS, Chemical Abstracts Service registry number, 64-17-5. DRUG, Drug Bank, DB00316. AF, Affymetrix, 200007_at. CHEB, ChEBI, 16236. CHID, ChemIDplus, 0000050000. EG, Entrez-Gene, 3064. GO, Gene Ontol...

Created: 2012-06-25 | Last updated: 2014-07-14

Credits: User Marco Roos User Martijn Schuemie User Reinout van Schouwen Network-member BioSemantics

Workflow

Workflow Match gene lists based on information in l... (7)

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[THIS WORKFLOW IS IN BETA STAGE] This workflow computes the match between two lists of Entrez Gene Identifiers by means of concept profile matching (Jelier et al., van Haagen et al.). The result of this is a list of concepts ordered by their matching score (the length of the list set by maxMatchNr). Of this list the summed scores are explained by computing the concepts that contribute most to the combination of the matching genes. Example to explain (by analogy): When a group of informatic...

Created: 2012-04-17 | Last updated: 2012-04-25

Credits: User Marco Roos User Reinout van Schouwen User Eleni User Kristina Hettne Network-member BioSemantics

Attributions: Workflow Match concept profiles Workflow Explain concept scores

Workflow

Workflow 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: User Marco Roos Network-member AID

Workflow

Workflow Gene expression interpretation by the Glob... (1)

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This workflow adds meaning to gene expresion values by performing a standard and a literature weighted Global Test. Gene expression is expected to be from Affymetrix microarrays, for which an RMA normalization and entrez Gene ID mapping/summation is performed. Original workflow is by Dennis Leenheer, edits by Marco Roos. Scripts by Kristina Hettne, acknowledging Rob Jellier, Jelle Goeman, and Peter-Bram 't Hoen. The workflow was created for the LUMC BioSemantics group, part of the Human Gen...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: User Marco Roos

Workflow

Workflow 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: User Marco Roos User Sophia katrenko User Andrew Gibson User M. Scott Marshall User Willem van Hage User Edgar User Martijn Schuemie Network-member AID

Workflow

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Workflow Analysing workflows (3)

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This workflows analyses workflows stored at the myExperiment site. It is used in the paper submitted to the Workshop on Scientific Workflow 2009. The workflow shows the task usage in the Taverna workflows stored at the myExperiment site The amount of services used The amount of local processors used The amount of scripting tasks The amount of sub workflows Furthermore it classifies the local services based on their intended function. The workflow has two inputs: ...

Created: 2009-05-06 | Last updated: 2009-05-06

Credits: User Wassinki User Pieter Neerincx User Katy Wolstencroft User Marco Roos

Workflow

Workflow BioAID_ProteinDiscovery_filterOnHumanUnipr... (11)

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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...

Created: 2009-05-28

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

Attributions: Workflow BioAID_DiseaseDiscovery_RatHumanMouseUniprotFilter

Workflow

Workflow Demo_DiseaseDiscovery_byHumanUniprot_scaffold (1)

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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)...

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

Workflow

Workflow Retrieve_documents_MR1 (1)

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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.

Created: 2007-12-10

Credits: User Marco Roos User Edgar Network-member AID

Workflow

Workflow Retrieve_bio_documents (2)

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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.

Created: 2007-12-10 | Last updated: 2007-12-10

Credits: User Marco Roos User Edgar Network-member AID

Workflow

Workflow Lucene_bioquery_optimizer_MR1 (1)

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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, ...

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

Workflow

Workflow Link_protein_to_OMIM_disease (1)

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No description

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

Workflow

Workflow Flatten_and_make_unique (1)

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No description

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

Workflow

Workflow Extract_proteins (2)

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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).

Created: 2007-12-10 | Last updated: 2007-12-10

Credits: User Marco Roos

Workflow

Workflow Discover_entities (2)

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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 ...

Created: 2007-12-10 | Last updated: 2007-12-10

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

Workflow

Workflow 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: User Marco Roos

Workflow

Workflow 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: User Marco Roos

Workflow

Workflow 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: User Marco Roos User Tomoinn

Workflow

Workflow TestIterator (1)

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Workflow to experiment with list iteration strategies. Look at metadata of nested workflow 'Concatenate' to see the current iteration strategy.

Created: 2007-11-28

Credits: User Marco Roos

Workflow

Workflow BioAID_Discover_proteins_from_text_plus_sy... (1)

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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: User Marco Roos User Martijn Schuemie Network-member AID

Workflow

Workflow 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: User Marco Roos Network-member AID

Workflow

Workflow 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: User Marco Roos Network-member AID

Workflow

Workflow 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: User Marco Roos Network-member AID

Workflow

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

Attributions: Workflow BioAID_DiseaseDiscovery_RatHumanMouseUniprotFilter

Workflow

Workflow ProteinSynonymsToQuery (2)

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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

Created: 2007-10-03 | Last updated: 2007-11-13

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

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