A general extreme value theory model for the adaptation of DNA sequences under strong selection and weak mutation.
about
Quantifying the adaptive potential of an antibiotic resistance enzymeFitness and its role in evolutionary geneticsReal time forecasting of near-future evolutionThe population genetics of adaptation: multiple substitutions on a smooth fitness landscapeEvolutionary rescue: an emerging focus at the intersection between ecology and evolution.Effects of new mutations on fitness: insights from models and data.The properties of adaptive walks in evolving populations of fungusThe population genetics of beneficial mutationsCost of adaptation and fitness effects of beneficial mutations in Pseudomonas fluorescens.Mutational effects and population dynamics during viral adaptation challenge current modelsA systematic survey of an intragenic epistatic landscape.Multidimensional epistasis and the transitory advantage of sex.Multiple adaptive substitutions during evolution in novel environments.Stickbreaking: a novel fitness landscape model that harbors epistasis and is consistent with commonly observed patterns of adaptive evolution.Distribution of fixed beneficial mutations and the rate of adaptation in asexual populations.Parallel genetic changes and nonparallel gene-environment interactions characterize the evolution of drug resistance in yeast.Predictability of evolution depends nonmonotonically on population sizeThe genetics of adaptation for eight microvirid bacteriophages.The dynamics of adaptation on correlated fitness landscapesA bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environmentsThe Utility of Fisher's Geometric Model in Evolutionary Genetics.Computability, Gödel's incompleteness theorem, and an inherent limit on the predictability of evolution.Inference for one-step beneficial mutations using next generation sequencing.Estimating the number of one-step beneficial mutations.Adaptation in tunably rugged fitness landscapes: the rough Mount Fuji model.Dobzhansky-Muller incompatibilities and adaptation to a shared environment.Cost of antibiotic resistance and the geometry of adaptation.The dynamics of adapting, unregulated populations and a modified fundamental theorem.Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences.Generative models versus underlying symmetries to explain biological pattern.Mutation-Driven Parallel Evolution during Viral Adaptation.Accelerated simulation of evolutionary trajectories in origin-fixation models.Correlations of record events as a test for heavy-tailed distributions.Molecular evolution between chemistry and biology : The interplay of competition, cooperation, and mutation.The fitness landscape of the codon space across environments
P2860
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P2860
A general extreme value theory model for the adaptation of DNA sequences under strong selection and weak mutation.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
A general extreme value theory ...... g selection and weak mutation.
@en
type
label
A general extreme value theory ...... g selection and weak mutation.
@en
prefLabel
A general extreme value theory ...... g selection and weak mutation.
@en
P2093
P2860
P1433
P1476
A general extreme value theory ...... g selection and weak mutation.
@en
P2093
Craig J Beisel
Darin R Rokyta
H Allen Orr
Paul Joyce
P2860
P304
P356
10.1534/GENETICS.108.088716
P407
P577
2008-09-14T00:00:00Z