多方法集成预测短柄草核心启动子模体

Prediction of core promoter motifs in Brachypodium distachyon via integrating multiple methods

为了解决真核生物启动子调控元件注释难题,以短柄草为研究对象,进行全基因组范围内的核心启动子模体预测.基于系统进化足迹技术,集成多种模体发现算法寻找启动子模体,并结合模体聚类算法筛选出真实模体.结果发现,在前10个最优的核心启动子模体中,有6个与已知的拟南芥模体一致,表明该方法的有效性.

In order to solve the annotation problem of regulatory element motifs in eukaryotic organism promoters, the prediction of core promoter motifs in Brachypodium distachyon of genome-wide is carried out. Based on phylogenetic footprinting, multiple motif finding algorithms are intergrated to seeking core promoter motifs, and the real motifs are screened out by the motif clustering algorithm. The results show that 6 motifs in the first 10 top core promoter motifs are consistent with Arabidopsis, and it indicated that the method is effective.