This paper models transcription factor binding sites (TFBS) using two-step Z transform.
本文采用二阶z变换对转录因子结合位点序列进行建模。
Objective: to predict the promotor position and transcription factor binding sites of human BMP-2 gene.
目的：预测人类BMP - 2基因启动子位置和可能的转录因子结合位点。
CONCLUSION: Phylogenetic footprinting can effectively decrease the false positive rate in predicting transcription factor binding sites.
结论：进化足迹法可以有效地降低转录因子结合部位预测结果中的假阳性率。
There are a large number of methods for identifying transcription factor binding sites, and it can be divided into two ways: conservative motif based and comparative genomics.
目前，已经有大量的方法用于识别转录因子结合位点，大致可分为基于保守模体和比较基因组学两种方法。
AIM: to find out common transcription factor binding sites in the promoter regions of the encoding genes of the co-expressive proteins induced by N-methyl-N '-nitro-n - nitrosoguanidine (MNNG).
目的：分析甲基硝基亚硝基胍(MNNG)诱导的共表达蛋白的编码基因启动子区的转录因子结合部位。
The union of the transcription factor and corresponding binding sites has the high specificity.
转录因子与其结合位点的结合具有高度的专一性。
The union of the transcription factor and corresponding binding sites has the high specificity.
转录因子与其结合位点的结合具有高度的专一性。
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