Workflows

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

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

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: Marco Roos

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

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