Supporting genotype‐to‐phenotype association studies with grid‐enabled knowledge discovery workflowsSupporting genotype‐to‐phenotype association studies with grid‐enabled knowledge discovery workflows Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-032009enWeb Services and Grid-enabled scientific workflows are of paramount importance for the realization of efficient and secure knowledge discovery scenarios. This paper presents a Grid-enabled Genotype-to-Phenotype discovery scenario (GG2P), which is realized by a respective scientific workflow. GG2P supports the seamless integration of SNP genotype data sources, and the discovery of indicative and predictive genotype-to-phenotype association models - all wrapped around custom-made Web Services. GG2P is applied on a whole-genome SNP-genotyping experiment (breast cancer vs. normal/control phenotypes). A set of about 100 indicative SNPs are induced with very high classification performance. The biological relevance of the findings is supported by the relevant literature.http://creativecommons.org/licenses/by/4.0/6958-6231st Annual International Conference of the IEEE Engineering in Medicine and Biology Conference Moustakis Vasilis Μουστακης Βασιλης Koumakis L. Tsiknakis M. Kafetzopoulos D. Potamias G. National Center for Biotechnology Information