ESPM 108B Lecture Notes - Lecture 11: Genetic Drift, Gamete

• School: Berkeley
• Department: Environmental Science, Policy, And Management
• Course: ESPM 108B
• Professor: Richard Dodd

Document Summary

Modeling uses pt . est . of parameters pop genetic parameters the that don"t make. He eh max use of info we can derive much more info then from. Walesa models we can infer info on pop divergence lines s in pop t re comb. Classical popgun static are point estimates into if allele i have genealogical in genetic data pt . est. Important observation prob that allele in prob. Coalescence : ancestral allele like drift other prev . in the chance they. Prob of is replaced every is drawn randomly from generation ly gamete pool is man ip . allele fog . 2 gon random allele in has a parent has the. 2 is . open pier . to running gen . copies of. I " " er a gene came from the same copy drift backwards looking for prob . genetic of drift in reverse an allele being selected in the next.