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Evolutionary Dynamics in Gene Networks and Inference Algorithms

1
Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, 01187 Dresden, Germany
2
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)
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
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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. https://0-doi-org.brum.beds.ac.uk/10.3390/computation3010099

AMA Style

Aguilar-Hidalgo D, Lemos MC, Córdoba A. Evolutionary Dynamics in Gene Networks and Inference Algorithms. Computation. 2015; 3(1):99-113. https://0-doi-org.brum.beds.ac.uk/10.3390/computation3010099

Chicago/Turabian Style

Aguilar-Hidalgo, Daniel, María C. Lemos, and Antonio Córdoba. 2015. "Evolutionary Dynamics in Gene Networks and Inference Algorithms" Computation 3, no. 1: 99-113. https://0-doi-org.brum.beds.ac.uk/10.3390/computation3010099

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