Nat Genet. 2001 Oct;29 2 :153-9. Identifying regulatory networks by combinatorialysis of promoter elements. Pilpel Y 1 , Sudarsanam P, Church GM.. - Identifying regulatory networks by combinatorialysis of promoter address the combinatorial nature of transcription, a well-established .Identifying regulatory networks by combinatorialysis of promoter elements..Few stu.s, however, address the combinatorial nature of transcription, a well-established phenomenon in eukaryotes. Here we describe a new approach .
1. Identification of cis- and trans-elements of input gene. 2. Construction of gene regulatory networks by using coexpression .ysis..This session gives you a sneakk at some of the top-scoring posters across a variety of topics through rapid-fire presentations. The featured abstracts were chosen by the Program Committee and are marked by a microphone in the online program..Chemical biology is a scientific discipline spanning the fields of chemistry and biology.The discipline involves the application of chemical techniques, .ysis, and often small molecules produced through synthetic chemistry, to the study and manipulation of biological systems.In contrast to biochemistry, which involves the study of the chemistry of biomolecules and regulation of biochemical .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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Article nature genetics volume 29 october 2001 153 Identifying regulatory networks by combinatorialysis of promoter elements Yitzhak Pilpel 1*, Priya Sudarsanam * George M. Church *These authors contributed equally to this work..
A specific network transformation procedure was used to obtain the co-regulatory network describing the set of all significantociations among transcription factors in regulating common target genes..
Combinatorial interaction of transcription factors TFs is important for gene regulation. Although various genomic datasets are relevant to this issue, each dataset provides relatively weak evidence on its own. Developing methods that can integrate different sequence, expression and localization .
Identifying regulatory networks by combinatorialysis of promoter elements. From Cambridge English Corpus It requires extensive combinatorial and numeric computation, and a great deal of explorative programming..