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

Héctor Cervera, Jasna Lalić & Santiago F. Elena
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 about mutation and recombination rates, the role of genetic drift and the distribution of mutational, epistatic and pleiotropic fitness effects. However, information about the topography of virus' adaptive landscapes is still scarce, and to our knowledge no data has been reported so far...

Registration Year

  • 2016

Resource Types

  • Dataset


  • Universitat Politècnica de València