Identifying Regulatory Networks By Combinatorial Analysis Of Promoter Elements

Nat Genet. 2001 Oct;29 2 :153-9. Identifying regulatory networks by combinatorialysis of promoter elements. Pilpel Y 1 , Sudarsanam P, Church GM. Author information: 1 Department of Genetics and Lipper Center for Computational Genetics, Harvard Medical School, Boston, M.achusetts 02115, USA. Comment in . - Several computational methods based on microarray data are currently used to study genome-wide transcriptional regulation. Identification and .ysis of motif combinations. A global map of yeast combinatorial control. Exploring the causal relationship between motifs and expression patterns.. - Pilpel Y, Sudarsanam P, Church GM Identifying regulatory networks by combinatorialysis of promoter elements. Nat Genet 29: 153-159. Article November Reads. DOI: 10.1038/ng724 Source: PubMed. Cite this publication. Yitzhak Pilpel at Weizmann Ins.ute of Science. Yitzhak Pilpel..Identifying regulatory networks by combinatorialysis of promoter elements. Nat Genet. 2001;29 2 :153-9. Wagner A. Genes regulated cooperatively by one or more transcription factors and their identification in whole eukaryotic genomes. Bioinformatics. 1999;15 10 :776-84. Yu X, Lin J, Masuda T, Esumi N, Zack DJ, .

First time an in silico promoterysis of Rboh genes from Arabidopsis and rice. Distribution of cis-acting elements, CpG islands and tandem repeats areyzed..Upstream of the core promoter region are the proximal and distal regions of promoters. Proximal and distal regions of the promoter contain different regulatory .1. Identification of cis- and trans-elements of input gene. 2. Construction of gene regulatory networks by using coexpression .ysis..

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    Upstream of the core promoter region are the proximal and distal regions of promoters. Proximal and distal regions of the promoter contain different regulatory .

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    1. Identification of cis- and trans-elements of input gene. 2. Construction of gene regulatory networks by using coexpression .ysis..

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