Research
Common gene expression strategies revealed by genome-wide analysis in yeast
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* Corresponding author: José E Pérez-Ortín jose.e.perez@uv.es
1 Sección de Chips de DNA-SCSIE, Universitat de València, Dr Moliner 50, E-46100, Burjassot, Spain
2 Departamento de Bioquímica y Biología Molecular, Universitat de València, Dr Moliner 50, E-46100, Burjassot, Spain
3 Instituto Cavanilles de Biodiversidad y Biología Evolutiva and Departamento de Genética, Universitat de València, Dr Moliner 50, E-46100, Burjassot, Spain
Genome Biology 2007, 8:R222 doi:10.1186/gb-2007-8-10-r222
Published: 19 October 2007Additional files
Additional data file 1:
Plot of abundance and stability for mRNA and protein molecules.
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Additional data file 2:
Clustering similar to that shown in Figure 3 but with 20 clusters.
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Additional data file 3:
Clustering similar to that shown in Figure 3 but with 30 clusters.
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Additional data file 4:
Further analysis of cluster 3 from Figure 3.
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Additional data file 5:
Further analysis of cluster 7 from Figure 3.
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Additional data file 6:
Further analysis of cluster 11 from Figure 3.
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Additional data file 7:
6VP for some other functional categories not shown in Figure 4.
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Additional data file 8:
Summary of numerical data used in the paper.
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Additional data file 9:
Ribosome biogenesis genes that appear within the low correlation class in Figure 2b.
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Additional data file 10:
Complete list of significant GO categories found in clusters from Figure 3.
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Additional data file 11:
Complete list of significant GO categories found in clusters from Additional data files 2 and 3 and not present in Figure 3
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Additional data file 12:
Standard error averages calculated for experimental (aSEe) and random sampling (aSEr) estimations for the functionally related groups from Figure 4
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Additional data file 13:
Values for the six variables of the 6,173 genes analyzed.
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Additional data file 14:
Description and comments of the data shown in additional data file 1.
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