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An integrative bioinformatics approach for knowledge discovery

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1007/978-3-642-03978-2_24
AuthorSearch for: 1; Search for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. NRC Institute for Information Technology
FormatText, Book Chapter
Subjectbioinformatics; knowledge discovery; genetic diseases
Abstract
The vast amount of data being generated by large scale omics projects and the computational approaches developed to deal with this data have the potential to accelerate the advancement of our understanding of the molecular basis of genetic diseases. This better understanding may have profound clinical implications and transform the medical practice; for instance, therapeutic management could be prescribed based on the patient’s genetic profile instead of being based on aggregate data. Current efforts have established the feasibility and utility of integrating and analysing heterogeneous genomic data to identify molecular associations to pathogenesis. However, since these initiatives are data-centric, they either restrict the research community to specific data sets or to a certain application domain, or force researchers to develop their own analysis tools. To fully exploit the potential of omics technologies, robust computational approaches need to be developed and made available to the community. This research addresses such challenge and proposes an integrative approach to facilitate knowledge discovery from diverse datasets and contribute to the advancement of genomic medicine.
Publication date
PublisherSpringer
In
  • IT Revolutions (2009): 254–257.
Series
  • Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, no. 11.
LanguageEnglish
Peer reviewedYes
NPARC number23004490
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Record identifier300cd383-5ad8-4d8b-9540-35aaf65dab4a
Record created2018-11-08
Record modified2020-06-17
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