Clear: Composition of Likelihoods for Evolve and Resequence Experiments.

ABSTRACT: The advent of next generation sequencing technologies has made whole-genome and whole-population sampling possible, even for eukaryotes with large genomes. With this development, experimental evolution studies can be designed to observe molecular evolution "in action" via evolve-and-resequence (E&R) experiments. Among other applications, E&R studies can be used to locate the genes and variants responsible for genetic adaptation. Most existing literature on time-series data analysis often assumes large population size, accurate allele frequency estimates, or wide time spans. These assumptions do not hold in many E&R studies. In this article, we propose a method-composition of likelihoods for evolve-and-resequence experiments (Clear)-to identify signatures of selection in small population E&

SUBMITTER: Iranmehr A 

PROVIDER: S-EPMC5499160 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature