NAME

       Aevol - an in silico experimental evolution platform

SYNOPSIS

       aevol_misc_robustness -h | --help
       aevol_misc_robustness -V | --version
       aevol_misc_robustness [-t TIMESTEP] [-I INDEX | -R RANK] [-n NB_MUTANTS]

DESCRIPTION

       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.

OPTIONS

       -h, --help
              print help, then exit

       -V, --version
              print version number, then exit

       -t, --timestep TIMESTEP
              specify timestep of the individual of interest

       -I, --index INDEX
              specify the index of the individual of interest

       -R, --rank RANK
              specify the rank of the individual of interest default: best individual

       -n, --nb-mutants NB_MUTANTS
              specify the number of mutants to be generated

SEE ALSO

       aevol_create, aevol_modify, aevol_propagate, aevol_run, aevol_misc_ancestor_robustness

aevol 5.0                                           July 2016                                           AEVOL(1)