Identifying Regulatory Networks By Combinatorial Analysis

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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.. - Identifying regulatory networks by. combinatorialysis of promoter. elements. Yitzhak Pilpel. 1. *, Priya Sudarsanam. 1. * George M. Church. 1. *These authors contributed equally to this work. Several computational methods based on microarray data are currently used to study genome-wide transcrip-..Automatic imageysis for gene expression patterns of fly embryos. BMC Cell Biology, 8 Suppl 1 , S7. doi:10.1186/1471-21218-S1-S7 Pilpel, Y., Sudarsanam, P., Church, G. M. 2001 . Identifying regulatory networks by combinatorialysis of promoter elements. Nature Genetics, 29, 153-159. doi:10.1038/ng724 R .

Co.es are used by this site. For more information, visit the co.es page..Highlights Extensive transcription factor regulatory networks for 41 human cell and tissue types Regulatory networks are highly cell selective and expose .1. Identification of cis- and trans-elements of input gene. 2. Construction of gene regulatory networks by using coexpression .ysis..Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page URL ociated with that DOI name. Send questions or comments to doi .

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    Highlights Extensive transcription factor regulatory networks for 41 human cell and tissue types Regulatory networks are highly cell selective and expose .

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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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