Gregory Bruce Ewing

Cette personne n’est plus à l’EPFL

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Publications associées (5)

Approximate maximum likelihood estimation for population genetic inference

Gregory Bruce Ewing

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. Howev ...

De Gruyter2017

The consequences of not accounting for background selection in demographic inference

Jeffrey David Jensen, Gregory Bruce Ewing

Recently, there has been increased awareness of the role of background selection (BGS) in both data analysis and modelling advances. However, BGS is still difficult to take into account because of tractability issues with simulations and difficulty with no ...

Wiley-Blackwell2016

Inferring the age of a fixed beneficial allele

Jeffrey David Jensen, Nicky Louise Ormond, Gregory Bruce Ewing, Matthieu Foll, Susanne Petra Pfeifer

Estimating the age and strength of beneficial alleles is central to understanding how adaptation proceeds in response to changing environmental conditions. Several haplotype-based estimators exist for inferring the age of segregating beneficial mutations. ...

Wiley-Blackwell2016

Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective

Hyunjin Shim, Jeffrey David Jensen, Claudia Bank, Gregory Bruce Ewing, Matthieu Foll, Anna Ferrer Admetlla

Author Summary In recent years, considerable attention has been given to the evolution of drug resistance in the influenza A H1N1 strain. As a major annual cause of morbidity and mortality, combined with the rapid global spread of drug resistance, influenz ...

Public Library of Science2014

Thinking too positive? Revisiting current methods of population genetic selection inference

Jeffrey David Jensen, Claudia Bank, Gregory Bruce Ewing, Matthieu Foll

In the age of next-generation sequencing, the availability of increasing amounts and improved quality of data at decreasing cost ought to allow for a better understanding of how natural selection is shaping the genome than ever before. However, alternative ...

Elsevier Science London2014

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