NDLI: BOGENVI: A Biomedical Ontology for Modelling Gene*Environment Interactions on Intermediate Phenotypes in Nutrigenomics Research

Content Provider	IEEE Xplore Digital Library
Author	Fabregat, A. Barrera, E. Arregui, M. Portoles, O. Corella, D. Coltell, O.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Languages & Syst., Univ. Jaume I, Castellon de la Plana (Fabregat, A.; Barrera, E.)
Abstract	Nutritional Genomics is demanding computing models and technological platforms in order to support acquisition, storage, management and presentation of all the information generated coming from heterogeneous sources: genotypes, environmental factors (diet and other life-style factors) and phenotypes (intermediate and final phenotypes). Our aim is to build a biomedical ontology in order to modelling gene*environment interactions on intermediate phenotypes by means of formalising and integrating genomic, environmental and phenotypic data, in the field of research on Nutritional Genomics applied to cardiovascular diseases and associated phenotypes. This ontology is part of a Health Information System based on Web engineering technologies, architectures and services, and integrating several data types to support Nutritional Genomics research in cardiovascular diseases.
Starting Page	302
Ending Page	307
File Size	1476080
Page Count	6
File Format	PDF
ISBN	9780769531656
ISSN	10637125
DOI	10.1109/CBMS.2008.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Genomics Bioinformatics Cardiovascular diseases Biomedical computing Environmental management Technology management Environmental factors Information systems Biomedical engineering Web application and services Nutritional Genomics Biomedical ontology Genomic environmental and phenotypic data integration Gene-environment interaction
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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