NDLI: INBIOMED: a platform for the integration and sharing of genetic, clinical and epidemiological data oriented to biomedical research

Content Provider	IEEE Xplore Digital Library
Author	Lopez-Alonso, V. Sanchez, J.P. Liebana, I. Hermosilla, I. Martin-Sanchez, F.
Copyright Year	2004
Description	Author affiliation: Med. Bioinformatics Unit, Inst. of Health Carlos III, Madrid, Spain (Lopez-Alonso, V.; Sanchez, J.P.; Liebana, I.; Hermosilla, I.; Martin-Sanchez, F.)
Abstract	INBIOMED is a biomedical informatics network that coordinates biomedical informatics and biomedical research groups working on diverse approaches (pharmacogenetics, genetic epidemiology and image-based diagnosis). The INBIOMED informatics platform is designed to facilitate the integration and sharing of clinical, genetic and epidemiological data, as well as to provide tools to analyze experimental data, predict and simulate biomedical knowledge. The INBIOMED platform integrates information from heterogeneous data sources, based on the available standards, facilitating the application of information analysis to study a concrete pathology. The integration of biomedical data will allow to obtain significant results to use in clinical and biomedical research as, for example in the development of diagnostic systems based on molecular and genetic classifications that could be applied in the study of tumors, the development of pharmacogenetics treatments, and the development of applications to improve public health research by means of the development of genomic epidemiology. This paper also presents the motivation for, and the initial stages in planning the application of grid technology for the INBIOMED Network.
Starting Page	222
Ending Page	226
File Size	349891
Page Count	5
File Format	PDF
ISBN	0769521738
DOI	10.1109/BIBE.2004.1317346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetics Biomedical informatics Bioinformatics Data analysis Analytical models Predictive models Information analysis Concrete Pathology Neoplasms
Content Type	Text
Resource Type	Article

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