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dc.contributor.authorTegnér, Jesper N.
dc.contributor.authorBjörkegren, Johan L M
dc.contributor.authorRavasi, Timothy
dc.contributor.authorBajic, Vladimir B.
dc.date.accessioned2015-08-24T09:55:37Z
dc.date.available2015-08-24T09:55:37Z
dc.date.issued2009-10-01
dc.identifier.isbn9789814241342
dc.identifier.doi10.4032/9789814241359
dc.identifier.urihttp://hdl.handle.net/10754/575855
dc.description.abstractMapping 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.
dc.titleTranscription regulatory networks analysis using CAGE
dc.typeBook Chapter
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.identifier.journalCap-Analysis Gene Expression (CAGE): The Science of Decoding Genes Transcription
dc.contributor.institutionKing Gustaf V Research Institute, Karolinska Institutet, Sweden
dc.contributor.institutionDepartment of Physics, Linköping University, Sweden
dc.contributor.institutionScripps Neuro AIDS Preclinical Studies (SNAPS), United States
dc.contributor.institutionJacobs School of Engineering, University of California, United States
dc.contributor.institutionSouth African National Bioinformatics Institute (SANBI), University of Western Cape, Saudi Arabia
kaust.personRavasi, Timothy


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