Abstract
It is widely predicted that cost and efficiency gains in sequencing will usher in an era of personal genomics and personalized, predictive, preventive, and participatory medicine within a decade. I review the computational challenges ahead and propose general and specific directions for research and development. There is an urgent need to develop semantic ontologies that span genomics, molecular systems biology, and medical data. Although the development of such ontologies would be costly and difficult, the benefits will far outweigh the costs. I argue that availability of such ontologies would allow a revolution in web-services for personal genomics and medicine.
Keywords: Genomics, personal genomes, personalized medicine, predictive and preventive medicine, gene expression variability
Current Genomics
Title: Computational Challenges of Personal Genomics
Volume: 9 Issue: 2
Author(s): Hamid Bolouri
Affiliation:
Keywords: Genomics, personal genomes, personalized medicine, predictive and preventive medicine, gene expression variability
Abstract: It is widely predicted that cost and efficiency gains in sequencing will usher in an era of personal genomics and personalized, predictive, preventive, and participatory medicine within a decade. I review the computational challenges ahead and propose general and specific directions for research and development. There is an urgent need to develop semantic ontologies that span genomics, molecular systems biology, and medical data. Although the development of such ontologies would be costly and difficult, the benefits will far outweigh the costs. I argue that availability of such ontologies would allow a revolution in web-services for personal genomics and medicine.
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Cite this article as:
Bolouri Hamid, Computational Challenges of Personal Genomics, Current Genomics 2008; 9 (2) . https://dx.doi.org/10.2174/138920208784139564
DOI https://dx.doi.org/10.2174/138920208784139564 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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