Simulated evolution applied to study the genetic code optimality using a model of codon reassignments.
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On Nature's Strategy for Assigning Genetic Code Multiplicity.A multiobjective approach to the genetic code adaptability problem.Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptabilityRefactoring the Genetic Code for Increased Evolvability.Analysis of the optimality of the standard genetic code.Optimization of the standard genetic code according to three codon positions using an evolutionary algorithm
P2860
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments.
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Simulated evolution applied to ...... model of codon reassignments.
@ast
Simulated evolution applied to ...... model of codon reassignments.
@en
type
label
Simulated evolution applied to ...... model of codon reassignments.
@ast
Simulated evolution applied to ...... model of codon reassignments.
@en
prefLabel
Simulated evolution applied to ...... model of codon reassignments.
@ast
Simulated evolution applied to ...... model of codon reassignments.
@en
P2860
P356
P1433
P1476
Simulated evolution applied to ...... model of codon reassignments.
@en
P2093
Angel Monteagudo
José Santos
P2860
P2888
P356
10.1186/1471-2105-12-56
P577
2011-02-21T00:00:00Z
P5875
P6179
1047218007