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Tag: biosemantics

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

Creator

Pack wf4ever Deliverable 6.3 Pack


Created: 2011-12-02 09:31:26 | Last updated: 2011-12-02 10:21:03

This pack contains (references to) the workflows for GWAS analysis by workflows that perform pathway and GO analysis and biosemantics data interpretation (a special form of text mining). This pack aggregates the deliverable materials for month 8 for Work Package 6. The workflows have not been published in the scientific domain yet, so its content cannot yet be made public. They are available upon request, in particular for reviewers. Please contact Kristina Hettne or Marco Roos (see credit...

6 items in this pack

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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 [untitled] (1)

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This workflow allows the user to search for processes that are involved with a certain gene. Using microarray-files (CEL-files), consisting of wild type and KO mice to which a stimulant is induced, the user can get an idea of the processes involved. (This is done using the global test and the literature weighted global test.) The results are then given as a text-file. Warning: workflow is not working (needs some revisions), all input is currently hardcoded! (You will have to change the file...

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

Credits: User Dennis Leenheer

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

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