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Mining the Kegg pathway database with the ... (1)
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
Creator
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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