Research
Integration of Arabidopsis thaliana stress-related transcript profiles, promoter structures, and cell-specific expression
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* Corresponding author: Hans J Bohnert bohnerth@life.uiuc.edu
1 Physiological and Molecular Plant Biology Graduate Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
2 Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
3 Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Genome Biology 2007, 8:R49 doi:10.1186/gb-2007-8-4-r49
Published: 4 April 2007Additional files
Additional data file 1:
Microarray datasets used for this analysis, including the descriptions of the treatments and conditions. The data come from AtGenExpress (abiotic and biotic stresses, elicitor treatments, hormone treatments, organ-specific expression), and transcription data in different cell lineages and developmental stages of the root.
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Additional data file 2:
Stress datasets used for Fuzzy K-means analysis.
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Additional data file 3:
Clustering results of all stress datasets.
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Additional data file 4:
Comparison between clusters N6 and N53 (legend as in Figure 2).
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Additional data file 5:
All genes in the common stresses response cluster N12.
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Additional data file 6:
Original data for gene expression in roots.
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Additional data file 7:
Processed root dataset used for fuzzy k-means analysis.
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Additional data file 8:
Clustering results for the root dataset.
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Additional data file 9:
Intersection between stress clustering and root clustering.
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Additional data file 10:
Clustering results for abiotic stresses in roots.
Format: TXT Size: 273KB Download file