Inference of genome-wide mutation rates and distributions of mutation effects for fitness traits: a simulation study.

Abstract excerpt

The properties and limitations of maximum likelihood (ML) inference of genome-wide mutation rates (U) and parameters of distributions of mutation effects are investigated. Mutation parameters are estimated from simulated experiments in which mutations randomly accumulate in inbred lines. ML produces more accurate estimates than the procedure of Bateman and Mukai and is more robust if the data do not conform to...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Computer Simulation
• Share to Genome
• Share to Models, Genetic