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Gene Regulation and Systems Biology

Synopsis: An open access, peer reviewed electronic journal that covers regulation of genes and proteins they encode and the broader field of systems biology.


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About this journal

Gene Regulation and Systems Biology

ISSN: 1177-6250

Aims and scope:

Gene Regulation and Systems Biology is concerned with the regulation of genes and the proteins they encode and the relationship between gene regulation and the wider field of systems biology.

The regulation of genes and the proteins they encode is at the core of systems biology. Understanding the role of gene regulation in the context of the entire system as it relates to disease processes will aid therapeutic development. Therefore, combining our knowledge of gene expression and promoter control, improving gene and protein networks, and determining the role of signal transduction will enhance our ability to treat complex diseases.

Systems biology is concerned with the integration of different levels of information to understand how complex biological systems function. By studying the relationships and interactions between various parts of a biological system (including gene and protein networks involved in cell signaling) it may be possible to create an understandable model of the whole system. Mathematical, analytic, and particularly computer simulation and heuristics are used as research methods.

Editorial standards and procedures:

Submissions, excluding editorials, letters to the editor and dedications, will be peer reviewed by two reviewers.  Reviewers are required to provide fair, balanced and constructive reports.  

Under our Fairness in Peer Review Policy authors may appeal against reviewers' recommendations which are ill-founded, unobjective or unfair.  Appeals are considered by the Editor in Chief or Associate Editor.

Papers are not sent to peer reviewers following submission of a revised manuscript. Editorial decisions on re-submitted papers are based on the author's response to the initial peer review report.

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Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks

Authors: Dirk Koschützki and Falk Schreiber
Publication Date: 15 May 2008
Gene Regulation and Systems Biology 2008:2 193-201

Dirk Koschützki1,2 and Falk Schreiber1,3

1Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, 06466 Gatersleben, Germany. 2Department of Computer and Electrical Engineering, Furtwangen University of Applied Sciences, Robert-Gerwig-Platz 1, 78120 Furtwangen, Germany. 3Institute for Computer Science, Martin-Luther-University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle, Germany.

Abstract

The structural analysis of biological networks includes the ranking of the vertices based on the connection structure of a network. To support this analysis we discuss centrality measures which indicate the importance of vertices, and demonstrate their applicability on a gene regulatory network. We show that common centrality measures result in different valuations of the vertices and that novel measures tailored to specific biological investigations are useful for the analysis of biological networks, in particular gene regulatory networks.



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