节点文献
用非联配方法预测人类转录调节模体
Prediction of Human Transcription Regulatory Motifs by Using Non-alignment Based Method
【摘要】 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(transcriptionregulatoryk-mermotifs,TRKMs)的非联配快速算法——基于距离的保守k-mer搜索算法(distance-basedconservativek-mersearchingalgorithm,DCKSalgorithm).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.
【Abstract】 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.
【Key words】 transcription regulatory motifs； non-alignment based approach； distance-based conservative k-mer searching algorithm； quadratic discriminant analysis；
- 【文献出处】 生物化学与生物物理进展 ,Progress in Biochemistry and Biophysics , 编辑部邮箱 ,2006年11期
- 【分类号】Q987
- 【被引频次】2
- 【下载频次】68