This work was supported by a grant from The National Natural Science Foundation of China (90403010).
通过对TRANSFAC数据库中转录因子结合位点 (TFBS) 所包含核苷k联体 (k-mer) 在人类和小鼠基因组启动子区中分布的比较分析,提出一种在人类全基因组启动子区搜索转录调节k-mer模体 (transcription regulatory k-mer motifs,TRKMs) 的非联配快速算法——基于距离的保守k-mer搜索算法 (distance-based conservative k-mer searching algorithm,DCKS algorithm).应用该算法,对人7-mer转录调节模体进行预测,预测结果敏感性为90%,特异性为78%,相关系数为0.65.
The comparative studies of k-mer distribution in human and mouse TFBS sequences listed in TRANSFAC database are given. A non-alignment based approach for fast genome-wide discovery of transcription regulatory k-mer motifs (TRKMs) is proposed. The method is called distance-based conservative k-mer searching algorithm (DCKS) which is based on the conservation of k-mer pair distance. By use of DCKS the prediction accuracy of human transcription regulatory 7-mer motifs is: sensitivity 90%, specificity 78%, and correlation coefficient 0.65.
吕军,罗辽复,张颖,赵巨东.用非联配方法预测人类转录调节模体[J].生物化学与生物物理进展,2006,33(11):1044-1050
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