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Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods

机译:通过并行处理,微阵列和计算方法分析酵母ORF上游区域

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We use a network of workstations to compute all pairwise alignments of the 500 bp upstream regions of 6,225 yeast ORFs (Open Reading Frames). We correlate the alignments with DNA microarray expression data from bud-ding yeast cells over an oxidative stress time course. We confirm on a genomic scale that, in general, genes with extremely similar upstream regions have similar activity levels, even when located on different chromosomes. As the difference in upstream regions increases, the correlation rapidly drops towards zero. Divergent ORFs with overlapping upstream regions do not seem to be correlated in any way. The pairwise alignments coupled with the expression data, together with other computational techniques, suggest a few new putative regulatory binding sites that can be tested experimentally. Finally, we investigate the inherent symmetry present in the two strands of the yeast genome. We show that it extends at least all the way up to 9-mers and is likely to result from different evolutionary pressures operating at different length scales.
机译:我们使用工作站网络来计算6,225酵母ORF的500bp上游区域的所有成对对齐(开放阅读帧)。我们将DNA微阵列表达数据与芽丁酵母细胞的对准与氧化应激时间过程相关联。我们证实了基因组规模,通常,即使在不同的染色体上也具有相似的上游区域具有相似的活性水平的基因。随着上游区域的差异增加,相关性快速下降到零。具有重叠上游区域的发散ORF似乎并不以任何方式相关。与表达数据耦合的成对对准以及其他计算技术,提出了一些可以通过实验测试的新推定的调节绑定位点。最后,我们研究了酵母基因组两条链中存在的固有对称性。我们表明它至少延伸到9-MERS,可能是由不同长度尺度运行的不同进化压力产生的。

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