AEVOL_MISC_ROBUSTNESS(1) - Linux man page online | User commands

An in silico experimental evolution platform.

July 2014
AEVOL(1) User Manual AEVOL(1) /#test with man −l <file>


aevol - an in silico experimental evolution platform


aevol_misc_robustness -h | --help aevol_misc_robustness -V | --version aevol_misc_robustness -g GENER [-n NBCHILDREN] [-i INDEX | -r RANK]


Aevol is a simulation platform that allows one to let populations of digital organisms evolve in different conditions and study experimentally the mechanisms responsible for the structuration of the genome and the transcriptome. aevol_misc_robustness computes the replication statistics of all the individuals of a given generation, like the proportion of neutral, beneficial, deleterious offsprings. This is done by simulating NBCHILDREN replications for each individual (1000 replications by default), with its mutation, rearrangement and transfer rates. Depending on those rates and genome size, there can be several mutations per replication. Those global statistics are written in stat/robustness_GENER.out, with one line per individual in the specified generation. The program also outputs detailed statistics for one of the individuals (the best one by default). The detailed statistics for this individual are written in stats/replication_GENER.out, with one line per simulated child of this particular individual.


-h, --help print help, then exit -V, --version print version number, then exit -g, --gener GENER specify the generation number for which the robustness statistics are desired -n, --nb-children NBCHILDREN specify the number of reproductions to simulate for each individual -i, --index INDEX specify the index (ID in current generation) of the individual for whom detailed reproduction statistics are desired -r, --rank RANK specify the rank of the individual for whom detailed reproduction statistics are desired


aevol_create, aevol_modify, aevol_propagate, aevol_run, aevol_misc_view_generation, aevol_misc_create_eps
aevol 4.4 July 2014 AEVOL(1)
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