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Efficient escape from local optima in a highly rugged fitness landscape by evolving RNA virus populations

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Efficient escape from local optima in a highly rugged fitness landscape by evolving RNA virus populations

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Cervera-Benet, H.; Lalic, J.; Elena Fito, SF. (2016). Efficient escape from local optima in a highly rugged fitness landscape by evolving RNA virus populations. Proceedings of the Royal Society B: Biological Sciences. 283:1-8. doi:10.1098/rspb.2016.0984

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83328

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Title: Efficient escape from local optima in a highly rugged fitness landscape by evolving RNA virus populations
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes
Issued date:
Abstract:
[EN] Predicting viral evolution has proven to be a particularly difficult task, mainly owing to our incomplete knowledge of some of the fundamental principles that drive it. Recently, valuable information has been provided ...[+]
Subjects: Adaptive landscapes , Adaptation , Contingency , Experimental evolution , Stochastic scape , Virus evolution
Copyrigths: Reserva de todos los derechos
Source:
Proceedings of the Royal Society B: Biological Sciences. (issn: 0962-8452 ) (eissn: 1471-2954 )
DOI: 10.1098/rspb.2016.0984
Publisher:
Royal Society, The
Publisher version: http://doi.org/10.1098/rspb.2016.0984
Project ID: info:eu-repo/grantAgreement/EC/FP7/610427/EU
Thanks:
This project was funded by grant nos. BFU2012-30805 and BFU2015-65037P from the Spanish Ministry of Economy and Competitiveness (MINECO), PROMETEOII/2014/021 from Generalitat Valenciana and EvoEvo (ICT610427) from the ...[+]
Type: Artículo

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