Download | - View accepted manuscript: Integrative data mining in functional genomics of Brassica napus and Arabidopsis thaliana (PDF, 580 KiB)
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Author | Search for: Pan, Youlian1; Search for: Tchagang, Alain1; Search for: Bérubé, Hugo1; Search for: Phan, Sieu1; Search for: Shearer, Heather2; Search for: Liu, Ziying1; Search for: Fobert, Pierre2; Search for: Famili, Fazel1 |
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Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
- National Research Council of Canada. NRC Plant Biotechnology Institute
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Format | Text, Article |
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Conference | The Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2010), June 1-4, 2010, Córdoba, Spain |
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Subject | Integrative data mining; microarray; transcription regulation; seed development; plant defense |
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Abstract | Vast 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. |
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Publication date | 2010-06-01 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 15261137 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | a73180c3-ed78-4401-bb2a-feec5f4172b7 |
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Record created | 2010-06-10 |
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Record modified | 2020-04-17 |
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