Abstract：
:Next generation sequencing (NGS) is about to revolutionize genetic analysis. Currently NGS techniques are mainly used to sequence individual genomes. Due to the high sequence coverage required, the costs for population-scale analyses are still too high to allow an extension to nonmodel organisms. Here, we show that NGS of pools of individuals is often more effective in SNP discovery and provides more accurate allele frequency estimates, even when taking sequencing errors into account. We modify the population genetic estimators Tajima's π and Watterson's to obtain unbiased estimates from NGS pooling data. Given the same sequencing effort, the resulting estimators often show a better performance than those obtained from individual sequencing. Although our analysis also shows that NGS of pools of individuals will not be preferable under all circumstances, it provides a cost-effective approach to estimate allele frequencies on a genome-wide scale.
journal_name
Geneticsjournal_title
Geneticsauthors
Futschik A,Schlötterer Cdoi
10.1534/genetics.110.114397subject
Has Abstractpub_date
2010-09-01 00:00:00pages
207-18issue
1eissn
0016-6731issn
1943-2631pii
genetics.110.114397journal_volume
186pub_type
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