Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data

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Abstract

A number of different statistics are used for detecting natural selection using DNA sequencing data, including statistics that are summaries of the frequency spectrum, such as Tajima's D. These statistics are now often being applied in the analysis of Next Generation Sequencing (NGS) data. However, estimates of frequency spectra from NGS data are strongly affected by low sequencing coverage; the inherent technology dependent variation in sequencing depth causes systematic differences in the value of the statistic among genomic regions.
Original languageEnglish
Article number289
JournalB M C Bioinformatics
Volume14
Number of pages14
ISSN1471-2105
DOIs
Publication statusPublished - 2013

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