http://www.ncbi.nlm.nih.gov/m/pubmed/22411855/
Abstract Due to its cost effectiveness, next generation sequencing of pools of individuals (Pool-Seq) is becoming a popular strategy for characterizing variation in population samples. Since Pool-Seq provides genome-wide SNP frequency data, it is possible to use them for demographic inference and/or the identification of selective sweeps. Here, we introduce a statistical method that is designed to detect selective sweeps from pooled data by accounting for statistical challenges associated with Pool-Seq, namely sequencing errors and random sampling among chromosomes. This allows for an efficient use of the information : all base calls are included in the analysis, but the higher credibility of regions with higher coverage and base calls with better quality scores is accounted for.
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