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  Web-based visualisation of the transcriptional control network of Escherichia coli

Sosa, N., Kremling, A., Ratsch, E., & Rojas, I. (2004). Web-based visualisation of the transcriptional control network of Escherichia coli. In Silico Biology, 4(4), 507-515.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9E83-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-8A07-8
Genre: Journal Article

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Copyright 2004 – IOS Press and Bioinformation Systems e.V. and the authors. All rights reserved. This publication is with permission of the rights owner freely accessible on MPG.PuRe.
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 Creators:
Sosa, N., Author
Kremling, A.1, Author              
Ratsch, E., Author
Rojas, I., Author
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Transcription is one of the basic processes of gene expression, controlled by a complex network of biochemical reactions. Despite its importance, most work on the visualisation of biochemical networks focuses on the representation of metabolic pathways. The visualisation of the complex networks controlling transcription requires the implementation of a hierarchical approach that allows the display of the structure of each regulatory region with its transcription factors and regulated operons. This paper presents a web-based application for the visualisation of transcriptional control networks. It takes as case study the organism Escherichia coli. The definition of the visual components implemented is mainly based on those proposed by Shen-Orr et al., 2002, slightly extended to visualise complex networks. © 2004 - IOS Press and Bioinformation Systems e.V. and the authors. All rights reserved. [accessed 2014 October 15]

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Language(s): eng - English
 Dates: 2004
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: eDoc: 207954
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Title: In Silico Biology
Source Genre: Journal
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Pages: - Volume / Issue: 4 (4) Sequence Number: - Start / End Page: 507 - 515 Identifier: -