Integrative data mining in functional genomics of Brassica napus and Arabidopsis thaliana

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TypeArticle
Proceedings titleIEA/AIE'10 Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
ConferenceThe Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2010), June 1-4, 2010, Córdoba, Spain
Issue3
Pages92101; # of pages: 11
SubjectIntegrative data mining; microarray; transcription regulation; seed development; plant defense
AbstractVast amount of data in various forms have been accumulated through many years of functional genomic research throughout the world. It is a challenge to discover and disseminate knowledge hidden in these data. Many computational methods have been developed to solve this problem. Taking analysis of the microarray data as an example, we spent the past decade developing various data mining strategies and software tools. It appears still insufficient to cover all sources of data. In this paper, we summarize our experiences in mining microarray data by using two plant species, Brassica napus and Arabidopsis thaliana, as examples. We present several success stories and also a few lessons learnt. The domain problems that we dealt with were the transcriptional regulation in seed development and during defense responses against pathogen infection.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology; NRC Plant Biotechnology Institute
Peer reviewedYes
NPARC number15261137
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Record identifiera73180c3-ed78-4401-bb2a-feec5f4172b7
Record created2010-06-10
Record modified2016-05-09
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