Co-expression pattern from DNA microarray experiments as a tool for operon prediction
Chiara Sabatti, Lars Rohlin, Min-Kyu Oh, and James C. Liao
Supplementary text (MSWord format)
Figure 1S. (PDF format) Information content for operon prediction of the analyzed experiments. (a) Plot of the noise level measured based on operons (ExperimentnoiseSDj) for each of the experiments. (b) Fraction of the genes that have a log expression ratio higher than twice the experiment-specific noise level for each experiment.
Figure 2S. (PDF format) Histogram of the correlation between expression values across experiments of genes in NOP and OP as resulting from two of the simulation experiments. On the left hand side, only 10% of the genes change expression in each of the experiments, while on the right hand side 40% of the genes change expression. Dash line represent non-operon and solid line represent operons.
Figure 3S. (PDF format) Scatter-plot of expression values for the adjacent genes in the cyoABCDE operon.
Figure 4S. (PDF format) Scatter-plot of expression values for the adjacent genes in the menFD-yfbB-menBCE operon.
