Kristina Hettne's Workflows

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

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

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

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