Difference between revisions of "Microarray data analysis of the shade avoidance in plants"
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'''Background''': When young plant seedling are in the shade, they will tend to elongate in order to rise above neighboring plants that may be shading it. This is part of the "Shade Avoidance Response" which provides the plant with a competitive advantage. | '''Background''': When young plant seedling are in the shade, they will tend to elongate in order to rise above neighboring plants that may be shading it. This is part of the "Shade Avoidance Response" which provides the plant with a competitive advantage. | ||
| − | '''Goal''': The Fankhauser lab at CIG (UNIL) has microarray expression data of plants grown in a shaded or unshaded environments, for various | + | '''Goal''': The Fankhauser lab at CIG (UNIL) has microarray expression data of plants grown in a shaded or unshaded environments, for various shade avoidance mutants. The goal of this project is to analyse this data and compare the results to similar publicly available data recenty reported in the scientific literature. |
'''Mathematical tools''': Statistics. The students will learn the basics of microarray data analysis using the R software. | '''Mathematical tools''': Statistics. The students will learn the basics of microarray data analysis using the R software. | ||
| − | '''Biological or Medical aspects''': The | + | '''Biological or Medical aspects''': The regulation of the shade avoidance response in Arabidopsis thaliana. |
'''Supervisor''': [[User:Micha|Micha Hersch]] | '''Supervisor''': [[User:Micha|Micha Hersch]] | ||
Revision as of 17:51, 18 February 2011
Background: When young plant seedling are in the shade, they will tend to elongate in order to rise above neighboring plants that may be shading it. This is part of the "Shade Avoidance Response" which provides the plant with a competitive advantage.
Goal: The Fankhauser lab at CIG (UNIL) has microarray expression data of plants grown in a shaded or unshaded environments, for various shade avoidance mutants. The goal of this project is to analyse this data and compare the results to similar publicly available data recenty reported in the scientific literature.
Mathematical tools: Statistics. The students will learn the basics of microarray data analysis using the R software.
Biological or Medical aspects: The regulation of the shade avoidance response in Arabidopsis thaliana.
Supervisor: Micha Hersch
Students:
Presentation:
References:
