Chowdhary Rajesh, Tan Sin Lam, Ali R Ayesha, Boerlage Brent, Wong Limsoon, Bajic Vladimir B
Knowledge Extraction Lab, Institute for Infocomm Research 21 Heng Mui Keng Terrace, Singapore 119613, Singapore.
Bioinformatics. 2006 Sep 15;22(18):2310-2. doi: 10.1093/bioinformatics/btl125. Epub 2006 Apr 13.
Dragon Promoter Mapper (DPM) is a tool to model promoter structure of co-regulated genes using methodology of Bayesian networks. DPM exploits an exhaustive set of motif features (such as motif, its strand, the order of motif occurrence and mutual distance between the adjacent motifs) and generates models from the target promoter sequences, which may be used to (1) detect regions in a genomic sequence which are similar to the target promoters or (2) to classify other promoters as similar or not to the target promoter group. DPM can also be used for modelling of enhancers and silencers.
http://defiant.i2r.a-star.edu.sg/projects/BayesPromoter/
Manual for using DPM web server is provided at http://defiant.i2r.a-star.edu.sg/projects/BayesPromoter/html/manual/manual.htm.
Dragon启动子映射器（DPM）是一种利用贝叶斯网络方法对共调控基因的启动子结构进行建模的工具。DPM利用了一组详尽的基序特征（如基序、其链、基序出现顺序以及相邻基序之间的相互距离），并从目标启动子序列生成模型，这些模型可用于（1）检测基因组序列中与目标启动子相似的区域，或（2）将其他启动子分类为与目标启动子组相似或不相似。DPM还可用于增强子和沉默子的建模。
http://defiant.i2r.a-star.edu.sg/projects/BayesPromoter/
DPM网络服务器的使用手册可在http://defiant.i2r.a-star.edu.sg/projects/BayesPromoter/html/manual/manual.htm获取。
