RT Journal
A1 Pool, John E.
A1 Hellmann, Ines
A1 Jensen, Jeffrey D.
A1 Nielsen, Rasmus
T1 Population genetic inference from genomic sequence variation
JF Genome Research 
JO Genome Research 
YR 2010 
FD March 01 
VO 20 
IS 3 
SP 291 
OP 300 
DO 10.1101/gr.079509.108 
UL http://genome.cshlp.org/content/20/3/291.abstract 
AB Population genetics has evolved from a theory-driven field with little empirical data into a data-driven discipline in which genome-scale data sets test the limits of available models and computational analysis methods. In humans and a few model organisms, analyses of whole-genome sequence polymorphism data are currently under way. And in light of the falling costs of next-generation sequencing technologies, such studies will soon become common in many other organisms as well. Here, we assess the challenges to analyzing whole-genome sequence polymorphism data, and we discuss the potential of these data to yield new insights concerning population history and the genomic prevalence of natural selection.