Integrative Data Mining in Functional Genomics of Brassica napus and Arabidopsis thaliana
| Autor: | Ziying Liu, Alain B. Tchagang, Hugo Bérubé, Youlian Pan, Pierre R. Fobert, Heather Shearer, Fazel Famili, Sieu Phan |
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| Rok vydání: | 2010 |
| Předmět: |
Integrative data mining
biology Microarray analysis techniques Computer science Genomic research food and beverages biology.organism_classification computer.software_genre Domain (software engineering) plant defense Plant species Arabidopsis thaliana Data mining transcription regulation microarray Functional genomics computer seed development |
| Zdroj: | Trends in Applied Intelligent Systems ISBN: 9783642130328 IEA/AIE (3) |
| DOI: | 10.1007/978-3-642-13033-5_10 |
| Popis: | 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. The Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2010), June 1-4, 2010, Córdoba, Spain |
| Databáze: | OpenAIRE |
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