Population genomics is a recently emerged discipline which aims at understanding how
evolutionary processes influence genetic variation across genomes. Today in the era of cheaper
next-generation sequencing it is no longer as daunting to obtain whole genome data for any
species of interest and population genomics is now conceivable in a wide range of fields from
medicine and pharmacology to ecology and evolutionary biology. However because of the lack of
reference genome and of enough a priori data on the polymorphism population genomics analyses
of populations will still involve higher constraints for researchers working on non-model
organisms as regards the choice of the genotyping sequencing technique or that of the analysis
methods. Therefore Data Production and Analysis in Population Genomics purposely puts emphasis
on protocols and methods that are applicable to species where genomic resources are still
scarce. It is divided into three convenient sections each one tackling one of the main
challenges facing scientists setting up a population genomics study. The first section helps
devising a sampling and or experimental design suitable to address the biological question of
interest. The second section addresses how to implement the best genotyping or sequencing
method to obtain the required data given the time and cost constraints as well as the other
genetic resources already available Finally the last section is about making the most of the
(generally huge) dataset produced by using appropriate analysis methods in order to reach a
biologically relevant conclusion. Written in the successful Methods in Molecular Biology(TM)
series format chapters include introductions to their respective topics lists of the
necessary materials and reagents step-by-step readily reproducible protocols advice on
methodology and implementation and notes on troubleshooting and avoiding known pitfalls.
Authoritative and easily accessible Data Production and Analysis in Population Genomics serves
a wide readership by providing guidelines to help choose and implement the best experimental or
analytical strategy for a given purpose.
