Workflows

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Tag: concept mining Group: BioSemantics

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 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 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 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

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