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Identification and annotation of promoter regions in microbial genome sequences on the basis of DNA stability

机译:基于DNA稳定性的微生物基因组序列中启动子区域的鉴定和注释

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Analysis of various predicted structural properties of promoter regions in prokaryotic as well as eukaryotic genomes had earlier indicated that they have several common features, such as lower stability, higher curvature and less bendability, when compared with their neighboring regions. Based on the difference in stability between neighboring upstream and downstream regions in the vicinity of experimentally determined transcription start sites, a promoter prediction algorithm has been developed to identify prokaryotic promoter sequences in whole genomes. The average free energy (E) over known promoter sequences and the difference (D) between E and the average free energy over the entire genome (G) are used to search for promoters in the genomic sequences. Using these cutoff values to predict promoter regions across entire Escherichia coli genome, we achieved a reliability of 70% when the predicted promoters were cross verified against the 960 transcription start sites (TSSs) listed in the Ecocyc database. Annotation of the whole E. coli genome for promoter region could be carried out with 49% accuracy. The method is quite general and it can be used to annotate the promoter regions of other prokaryotic genomes.
机译:早先对原核和真核基因组中启动子区域的各种预测结构特性的分析表明,与邻近区域相比,它们具有几个共同的特征,例如稳定性较低,曲率较高且弯曲性较小。基于实验确定的转录起始位点附近的相邻上游和下游区域之间稳定性的差异,开发了一种启动子预测算法来识别整个基因组中的原核启动子序列。已知启动子序列的平均自由能(E)以及整个基因组(G)的E与平均自由能之差(D)用于搜索基因组序列中的启动子。使用这些临界值来预测整个大肠杆菌基因组中的启动子区域,当针对Ecocyc数据库中列出的960个转录起始位点(TSS)进行交叉验证时,我们获得了70%的可靠性。整个大肠杆菌基因组的启动子区域注释都可以达到49%的准确性。该方法非常通用,可用于注释其他原核基因组的启动子区域。

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