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    Transcription regulatory networks analysis using CAGE

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    Type
    Book Chapter
    Authors
    Tegnér, Jesper N.
    Björkegren, Johan L M
    Ravasi, Timothy cc
    Bajic, Vladimir B. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computational Bioscience Research Center (CBRC)
    Biological and Environmental Sciences and Engineering (BESE) Division
    Bioscience Program
    Applied Mathematics and Computational Science Program
    Date
    2009-10-01
    Permanent link to this record
    http://hdl.handle.net/10754/575855
    
    Metadata
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    Abstract
    Mapping out cellular networks in general and transcriptional networks in particular has proved to be a bottle-neck hampering our understanding of biological processes. Integrative approaches fusing computational and experimental technologies for decoding transcriptional networks at a high level of resolution is therefore of uttermost importance. Yet, this is challenging since the control of gene expression in eukaryotes is a complex multi-level process influenced by several epigenetic factors and the fine interplay between regulatory proteins and the promoter structure governing the combinatorial regulation of gene expression. In this chapter we review how the CAGE data can be integrated with other measurements such as expression, physical interactions and computational prediction of regulatory motifs, which together can provide a genome-wide picture of eukaryotic transcriptional regulatory networks at a new level of resolution. © 2010 by Pan Stanford Publishing Pte. Ltd. All rights reserved.
    Journal
    Cap-Analysis Gene Expression (CAGE): The Science of Decoding Genes Transcription
    ISBN
    9789814241342
    DOI
    10.4032/9789814241359
    10.1201/9780429065750-12
    ae974a485f413a2113503eed53cd6c53
    10.4032/9789814241359
    Scopus Count
    Collections
    Biological and Environmental Sciences and Engineering (BESE) Division; Bioscience Program; Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Book Chapters; Book Chapters; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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