Title
A 4-base model for the Aevol in-silico experimental evolution platform
Authors
Vincent Liard, Jonathan Rouzaud-Cornabas, Nicolas Comte, Guillaume Beslon
Schedule
Date: Tuesday 5 Sept
Talk Time: TBA
Session: Evolutionary dynamics 1 14:00
Keywords
digital genetics, in-silico experimental evolution, comparative genomics, quantitative genetics, phylogenetic algorithm, benchmark
Abstract
In this paper, we describe a new digital genetics model based on the Aevol artificial life simulator.
Aevol is a computational platform designed to study populations of
digital organisms evolving under various conditions. It has been extended in two directions. First, we have extended the genomic code from a binary one
to a 4-base one, allowing for more realistic genomic sequence and eases the usage of Aevol as a benchmarking tool for
comparative genomics. Second, we have replaced the Aevol continuous phenotype representation by a discrete one inspired by Fisher Geometric Model. By doing so, we will be able to validate Aevol results against population genetics theory.
