A mutation degree model for the identification of transcriptional   regulatory elements

doi:10.1186/1471-2105-12-262

CORC > 北京大学 > 工学院

	A mutation degree model for the identification of transcriptional regulatory elements
	Zhang, Changqing ; Wang, Jin ; Hua, Xu ; Fang, Jinggui ; Zhu, Huaiqiu ; Gao, Xiang
刊名	bmc bioinformatics
	2011
关键词	ARABIDOPSIS-THALIANA MOTIFS SEQUENCES GENES EXPRESSION PROMOTERS CONSERVATION MICROARRAY GENOMES FINDER
DOI	10.1186/1471-2105-12-262
英文摘要	Background: Current approaches for identifying transcriptional regulatory elements are mainly via the combination of two properties, the evolutionary conservation and the overrepresentation of functional elements in the promoters of co-regulated genes. Despite the development of many motif detection algorithms, the discovery of conserved motifs in a wide range of phylogenetically related promoters is still a challenge, especially for the short motifs embedded in distantly related gene promoters or very closely related promoters, or in the situation that there are not enough orthologous genes available. Results: A mutation degree model is proposed and a new word counting method is developed for the identification of transcriptional regulatory elements from a set of co-expressed genes. The new method comprises two parts: 1) identifying overrepresented oligo-nucleotides in promoters of co-expressed genes, 2) estimating the conservation of the oligo-nucleotides in promoters of phylogenetically related genes by the mutation degree model. Compared with the performance of other algorithms, our method shows the advantages of low false positive rate and higher specificity, especially the robustness to noisy data. Applying the method to co-expressed gene sets from Arabidopsis, most of known cis-elements were successfully detected. The tool and example are available at http://mcube.nju.edu.cn/jwang/lab/soft/ocw/OCW.html. Conclusions: The mutation degree model proposed in this paper is adapted to phylogenetic data of different qualities, and to a wide range of evolutionary distances. The new word-counting method based on this model has the advantage of better performance in detecting short sequence of cis-elements from co-expressed genes of eukaryotes and is robust to less complete phylogenetic data.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000292919000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology; SCI(E); 3; ARTICLE; 12
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/239510]
专题	工学院
推荐引用方式 GB/T 7714	Zhang, Changqing,Wang, Jin,Hua, Xu,et al. A mutation degree model for the identification of transcriptional regulatory elements[J]. bmc bioinformatics,2011.
APA	Zhang, Changqing,Wang, Jin,Hua, Xu,Fang, Jinggui,Zhu, Huaiqiu,&Gao, Xiang.(2011).A mutation degree model for the identification of transcriptional regulatory elements.bmc bioinformatics.
MLA	Zhang, Changqing,et al."A mutation degree model for the identification of transcriptional regulatory elements".bmc bioinformatics (2011).