The utility of fitness landscapes and big data for predicting evolution

scientific article published on 20 August 2018

The utility of fitness landscapes and big data for predicting evolution is …
instance of (P31):
scholarly articleQ13442814
editorialQ871232

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P6179Dimensions Publication ID1106250966
P356DOI10.1038/S41437-018-0128-4
P932PMC publication ID6180140
P698PubMed publication ID30127530

P50authorSantiago F. ElenaQ30513222
Sebastian MatuszewskiQ57567883
Inês FragataQ43163442
P2093author name stringJ Arjan G M de Visser
P2860cites workExperimental illumination of a fitness landscapeQ22066261
Evolutionary Rate at the Molecular LevelQ22122432
Second-order selection for evolvability in a large Escherichia coli populationQ24635911
Darwinian evolution can follow only very few mutational paths to fitter proteinsQ29616042
Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses.Q30356476
Fisher's geometrical model emerges as a property of complex integrated phenotypic networksQ33575800
Initial mutations direct alternative pathways of protein evolutionQ33847781
Mutational and fitness landscapes of an RNA virus revealed through population sequencingQ33953331
Mechanisms causing rapid and parallel losses of ribose catabolism in evolving populations of Escherichia coli B.Q34011353
Replaying the tape of life: quantification of the predictability of evolutionQ34504896
The environment affects epistatic interactions to alter the topology of an empirical fitness landscapeQ34671988
From fitness landscapes to seascapes: non-equilibrium dynamics of selection and adaptation.Q34949551
Properties of selected mutations and genotypic landscapes under Fisher's geometric model.Q35079781
Delayed commitment to evolutionary fate in antibiotic resistance fitness landscapesQ35994748
Beyond the Hypercube: Evolutionary Accessibility of Fitness Landscapes with Realistic Mutational NetworksQ36217511
Efficient escape from local optima in a highly rugged fitness landscape by evolving RNA virus populations.Q53144970
Diminishing-returns epistasis among random beneficial mutations in a multicellular fungus.Q53717083
Predicting evolution.Q54295384
Distributions of epistasis in microbes fit predictions from a fitness landscape model.Q54444950
The genetical theory of natural selectionQ61661297
Breaking evolutionary constraint with a tradeoff ratchetQ36354875
Predictability of evolution depends nonmonotonically on population sizeQ36535179
On the (un)predictability of a large intragenic fitness landscapeQ37493368
Empirical fitness landscapes and the predictability of evolutionQ38218962
Topological features of rugged fitness landscapes in sequence spaceQ38273398
The Utility of Fisher's Geometric Model in Evolutionary GeneticsQ38689208
Genotypic Complexity of Fisher's Geometric ModelQ38815938
Microbial evolution. Global epistasis makes adaptation predictable despite sequence-level stochasticityQ39169158
Measuring epistasis in fitness landscapes: The correlation of fitness effects of mutations.Q40015337
Effect of host species on the topography of fitness landscape for a plant RNA virus.Q40599352
Epistasis and the Structure of Fitness Landscapes: Are Experimental Fitness Landscapes Compatible with Fisher's Geometric Model?Q40725548
The impact of high-order epistasis in the within-host fitness of a positive-sense plant RNA virusQ41012991
Patterns of Epistasis between beneficial mutations in an antibiotic resistance geneQ41864870
Epistasis between mutations is host-dependent for an RNA virusQ41917089
A predictive fitness model for influenzaQ42235123
Adaptive multiscapes: an up-to-date metaphor to visualize molecular adaptationQ42319058
Negative epistasis between beneficial mutations in an evolving bacterial populationQ44010374
Selection biases the prevalence and type of epistasis along adaptive trajectoriesQ44581995
Long-term dynamics of adaptation in asexual populationsQ45261637
Local Fitness Landscapes Predict Yeast Evolutionary Dynamics in Directionally Changing EnvironmentsQ48297642
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue5
P407language of work or nameEnglishQ1860
P921main subjectbig dataQ858810
P304page(s)401-405
P577publication date2018-08-20
P1433published inHeredityQ2261546
P1476titleThe utility of fitness landscapes and big data for predicting evolution
P478volume121

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Q90699093Analysis of statistical correlations between properties of adaptive walks in fitness landscapescites workP2860

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