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The approach is based on a yeast microarray compendium of chemostat steady-state experiments.
A microarray compendium of 170 steady-state chemostat cultures of the yeast Saccharomyces cerevisiae is presented and analyzed.
Based on a microarray compendium of 205 samples, we compared the gene expression profile of mature MII oocytes and human ES cells (hESC) to that of somatic tissues.
The ATH1 microarray compendium of 3,037 experiments (hereafter called "supercluster") was downloaded from the NASCArrays website http://affymetrix.arabidopsis.info/narrays/help/usefulfiles.html.html
To this end, we have compiled a microarray compendium of well-defined chemostat cultivations of yeast and employed a computational framework to analyze the effect of the cultivation parameters on gene expression.
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This microarray compendium quantified the expression of 13 279 unique Refseq transcripts in a total of 205 samples (see Methods and Additional file 2).
When the experimental conditions are abundant and heterogeneous such as in the case of microarray compendium, the previous strategy will not be as successful since most TFs are only active under certain specific conditions and beyond those conditions no tight correlation is expected between TF and its regulons.
When we apply this new method to the Escherichia coli microarray compendium data, it identifies a majority of known regulons as well as novel potential target genes of numerous key transcription factors.
This section starts by describing the steady-state chemostat microarray compendium and the regression analysis to assess the influence of cultivation parameters on gene expression.
It is one of the best-perturbed regulators in the microarray compendium due to the compendium's emphasis on DNA-damaging conditions [4].
A particular example is the so-called microarray compendium in which gene expression profiles were surveyed in hundreds of samples which were treated under diverse biological conditions [4] [6].
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