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Supporting genotype‐to‐phenotype association studies with grid‐enabledknowledge discovery workflows

Moustakis Vasilis, Koumakis L., Tsiknakis M., Kafetzopoulos D., Potamias G.

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URIhttp://purl.tuc.gr/dl/dias/89F47754-507F-42A9-891B-219AB7B3AE4F-
Identifierhttps://doi.org/10.1109/IEMBS.2009.5333882-
Languageen-
TitleSupporting genotype‐to‐phenotype association studies with grid‐enabled knowledge discovery workflowsen
CreatorMoustakis Vasilisen
CreatorΜουστακης Βασιληςel
CreatorKoumakis L.en
CreatorTsiknakis M.en
CreatorKafetzopoulos D.en
CreatorPotamias G.en
PublisherNational Center for Biotechnology Informationen
Content SummaryWeb 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.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-03-
Date of Publication2009-
Bibliographic CitationL. Koumakis, V. Moustakis, M. Tsiknakis, D. Kafetzopoulos, and D. Potamias, "Supporting Genotype‐to‐Phenotype Association Studies with Grid‐enabled Knowledge Discovery Workflows" in 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, 2009, pp. 6958-62. doi: 10.1109/IEMBS.2009.5333882.en

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