User: Kristina Hettne

KEGG:Get PW for met (1)

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The purpose of the workflow is to retrieve all the pathways that the input metabolite(s) participates in.

Created: 2016-06-21

Credits: Kristina Hettne Harish Dharuri

Attributions: KEGG:Pathway Scheme

chebi2keggID (1)

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This workflow converts a (list of) chebi identifiers to kegg compound identifiers.

Created: 2016-06-21

Credits: Kristina Hettne

Get targets for compound (1)

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This workflow retrieves single protein targets for a compound from open PHACTS.

Created: 2016-02-22

Credits: Kristina Hettne Eelke van der Horst Aylin Metzner

Get similar phenotypes for a disease and a... (1)

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This workflow retrieves the similar phenotypes between a disease and a gene based on the Monarch services at http://monarchinitiative.org/page/services. Phenotype similarity is calculated based on OwlSim, see http://owlsim.org.

Created: 2016-02-22

Credits: Kristina Hettne

Get ontology parents (2)

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Retrieves the ontology parents of an entity including the relationship type, using the ChEBI identifier.

Created: 2015-11-16 | Last updated: 2016-04-26

Credits: Kristina Hettne

Attributions: Get ontology parents

PW2ENS (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all ENSEMBL identifers for the given pathway.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

GetWikiPWByENS (2)

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This workflow uses the WikiPathways Webservice/API to query for pathways containing a specific ENSEMBL identifier. The mapping service behind WikiPathways takes care of the identifier mapping, making sure that all relevant results are found even if they were originally reported using a different identifier scheme.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

AllPW2ENS (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all ENSEMBL identifers for all pathways and merge them into one, unique list.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

AllPW2CHEBI (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all Chemical Entities of Biological Interest (ChEBI) identifers for all pathways and merge them to one, unique list.

Created: 2015-09-01 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

GetWikiPWByCHEBI (2)

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This workflow uses the WikiPathways Webservice/API to query for pathways containing a specific Chemical Entities of Biological Interest (ChEBI) identifier. The mapping service behind WikiPathways takes care of the identifier mapping, making sure that all relevant results are found even if they were originally reported using a different identifier scheme.

Created: 2015-09-01 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

ListAllWikiPathways (2)

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This workflow retrieves all pathways currently in the WikiPathways database, using the WikiPathways REST API.

Created: 2015-09-01 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

PW2CHEBI (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all Chemical Entities of Biological Interest (ChEBI) identifers for the given pathway.

Created: 2015-09-01 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

Chemical2URIs (1)

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This workflow will map a chemical name or identifier to uniform resource identifiers (URIs). First the ChemSpider web service is used to map the chemical name to a ChemSpider identifier, then the ChemSpider identifier is mapped to URIs via the Open PHACTS platform.

Created: 2015-08-18

Credits: Kristina Hettne Eelke van der Horst BioSemantics

Prioritize gene list for the Cure game (1)

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This workflow prioritizes a gene list according to its association with the 'concept_id'. Here we are prioritizing a gene list against breast cancer, in order to try to beat Barney in the game The Cure (http://genegames.org/cure/). Note: Before running this workflow the gene names supplied in the game first needs to be mapped to Entrez gene identifiers. This can be done using either this workflow http://www.myexperiment.org/workflows/3722 or a by performing a search in the NCBI Entrez gene d...

Created: 2015-04-29

Credits: Kristina Hettne Eleni

Attributions: Prioritize gene list

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: Kristina Hettne Harish Dharuri Marco Roos Reinout van Schouwen

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: Kristina Hettne Reinout van Schouwen Marco Roos BioSemantics

Attributions: SNPs to Concept Set through Concept Profile Matching v2

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: Kristina Hettne Marco Roos Reinout van Schouwen BioSemantics

Filter concepts with profiles (4)

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Purpose: Filter a list of concept id(s) by returning only those with a concept profile in the database.

Created: 2012-09-14 | Last updated: 2014-07-14

Credits: Kristina Hettne Reinout van Schouwen Martijn Schuemie BioSemantics

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: Kristina Hettne Reinout van Schouwen Marco Roos Martijn Schuemie BioSemantics

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: Kristina Hettne Marco Roos Reinout van Schouwen Martijn Schuemie BioSemantics

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: Kristina Hettne Reinout van Schouwen Marco Roos Martijn Schuemie BioSemantics

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: Kristina Hettne Reinout van Schouwen Martijn Schuemie Marco Roos BioSemantics

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: Kristina Hettne Eleni Harish Dharuri Reinout van Schouwen Marco Roos Martijn Schuemie BioSemantics

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

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: Kristina Hettne Marco Roos Reinout van Schouwen Martijn Schuemie BioSemantics

SNP_ID2EntrezGene_ID (4)

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Purpose: The workflow maps a SNP (dbSNP id) to a gene (EntrezGene id). Author comments: The window for gene inclusion can be set using the set_width parameter. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/282 for functional gene and SNP annotation and knowledge discovery.

Created: 2012-06-26 | Last updated: 2013-03-11

Credits: Kristina Hettne Harish Dharuri