differing types of mutations (represented by in a different way coloured arrows) arise at different frequencies (represented by arrow thickness). variety acts as a sieve and enables just a subset of those mutations to persist and turn out to be the variances we see concerning genomes. AI algorithms have shown the chance to forecast properly the im
. Such experiments are identified as mutation accumulation (MA) experiments (Elena and Lenski 2003; Lind and Andersson 2008; Brockhurst et al. 2010). It is now feasible to observe up MA experiments with entire-genome sequencing of your ancestor pressure and its resulting progeny, Therefore enabling with the genome-vast identification in the MA muta
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