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

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Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data. / Korneliussen, Thorfinn Sand; Moltke, Ida; Albrechtsen, Anders; Nielsen, Rasmus.

I: B M C Bioinformatics, Bind 14, 289, 2013.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Korneliussen, TS, Moltke, I, Albrechtsen, A & Nielsen, R 2013, 'Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data', B M C Bioinformatics, bind 14, 289. https://doi.org/10.1186/1471-2105-14-289

APA

Korneliussen, T. S., Moltke, I., Albrechtsen, A., & Nielsen, R. (2013). Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data. B M C Bioinformatics, 14, [289]. https://doi.org/10.1186/1471-2105-14-289

Vancouver

Korneliussen TS, Moltke I, Albrechtsen A, Nielsen R. Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data. B M C Bioinformatics. 2013;14. 289. https://doi.org/10.1186/1471-2105-14-289

Author

Korneliussen, Thorfinn Sand ; Moltke, Ida ; Albrechtsen, Anders ; Nielsen, Rasmus. / Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data. I: B M C Bioinformatics. 2013 ; Bind 14.

Bibtex

@article{6e11e7998bed42cbb2001d81e6f91ba5,
title = "Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data",
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.",
author = "Korneliussen, {Thorfinn Sand} and Ida Moltke and Anders Albrechtsen and Rasmus Nielsen",
year = "2013",
doi = "10.1186/1471-2105-14-289",
language = "English",
volume = "14",
journal = "B M C Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Calculation of Tajima's D and other neutrality test statistics from low depth next-generation sequencing data

AU - Korneliussen, Thorfinn Sand

AU - Moltke, Ida

AU - Albrechtsen, Anders

AU - Nielsen, Rasmus

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1186/1471-2105-14-289

DO - 10.1186/1471-2105-14-289

M3 - Journal article

C2 - 24088262

VL - 14

JO - B M C Bioinformatics

JF - B M C Bioinformatics

SN - 1471-2105

M1 - 289

ER -

ID: 51571161