Next Article in Journal / Special Issue
Evolution by Pervasive Gene Fusion in Antibiotic Resistance and Antibiotic Synthesizing Genes
Previous Article in Journal
Use of CMEIAS Image Analysis Software to Accurately Compute Attributes of Cell Size, Morphology, Spatial Aggregation and Color Segmentation that Signify in Situ Ecophysiological Adaptations in Microbial Biofilm Communities
Previous Article in Special Issue
Computational and Statistical Analyses of Insertional Polymorphic Endogenous Retroviruses in a Non-Model Organism
Article Menu

Export Article

Open AccessReview
Computation 2015, 3(1), 99-113;

Evolutionary Dynamics in Gene Networks and Inference Algorithms

Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, 01187 Dresden, Germany
Departamento de Física de la Materia Condensada, Universidad de Sevilla, 41012 Sevilla, Spain
Author to whom correspondence should be addressed.
Academic Editors: Marnix Medema and Rainer Breitling
Received: 31 October 2014 / Revised: 18 February 2015 / Accepted: 3 March 2015 / Published: 13 March 2015
(This article belongs to the Special Issue Genomes and Evolution: Computational Approaches)
Full-Text   |   PDF [841 KB, uploaded 13 March 2015]   |  


Dynamical interactions among sets of genes (and their products) regulate developmental processes and some dynamical diseases, like cancer. Gene regulatory networks (GRNs) are directed networks that define interactions (links) among different genes/proteins involved in such processes. Genetic regulation can be modified during the time course of the process, which may imply changes in the nodes activity that leads the system from a specific state to a different one at a later time (dynamics). How the GRN modifies its topology, to properly drive a developmental process, and how this regulation was acquired across evolution are questions that the evolutionary dynamics of gene networks tackles. In the present work we review important methodology in the field and highlight the combination of these methods with evolutionary algorithms. In recent years, this combination has become a powerful tool to fit models with the increasingly available experimental data. View Full-Text
Keywords: evolutionary dynamics; evolutionary algorithms; gene regulatory networks evolutionary dynamics; evolutionary algorithms; gene regulatory networks

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Aguilar-Hidalgo, D.; Lemos, M.C.; Córdoba, A. Evolutionary Dynamics in Gene Networks and Inference Algorithms. Computation 2015, 3, 99-113.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Computation EISSN 2079-3197 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top