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User: Marco Roos Licence: by-sa
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Blob The Hypothesis for the wf4ever Demo Pack 2013

Created: 2013-01-30 14:06:43 | Last updated: 2013-01-30 14:07:25

Credits: User Marco Roos

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The hypothesis for the Demo pack created for the wf4ever demo in 2013. It is not intended for real use.

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Workflow 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: User Marco Roos

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

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 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

Workflow Link_protein_to_OMIM_disease (1)

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No description

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

Workflow Flatten_and_make_unique (1)

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No description

Created: 2007-12-10

Credits: User Marco Roos Network-member AID

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