ANGSD: analysis of next generation sequencing data

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Standard

ANGSD : analysis of next generation sequencing data. / Korneliussen, Thorfinn Sand; Albrechtsen, Anders; Nielsen, Rasmus.

In: B M C Bioinformatics, Vol. 15, 356, 2014.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Korneliussen, TS, Albrechtsen, A & Nielsen, R 2014, 'ANGSD: analysis of next generation sequencing data', B M C Bioinformatics, vol. 15, 356. https://doi.org/10.1186/s12859-014-0356-4

APA

Korneliussen, T. S., Albrechtsen, A., & Nielsen, R. (2014). ANGSD: analysis of next generation sequencing data. B M C Bioinformatics, 15, [356]. https://doi.org/10.1186/s12859-014-0356-4

Vancouver

Korneliussen TS, Albrechtsen A, Nielsen R. ANGSD: analysis of next generation sequencing data. B M C Bioinformatics. 2014;15. 356. https://doi.org/10.1186/s12859-014-0356-4

Author

Korneliussen, Thorfinn Sand ; Albrechtsen, Anders ; Nielsen, Rasmus. / ANGSD : analysis of next generation sequencing data. In: B M C Bioinformatics. 2014 ; Vol. 15.

Bibtex

@article{75d97cb511484deeb4b947eb8ec33ae8,
title = "ANGSD: analysis of next generation sequencing data",
abstract = "BackgroundHigh-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously.ResultsWe present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods.ConclusionsThe open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd. The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.",
author = "Korneliussen, {Thorfinn Sand} and Anders Albrechtsen and Rasmus Nielsen",
year = "2014",
doi = "10.1186/s12859-014-0356-4",
language = "English",
volume = "15",
journal = "B M C Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - ANGSD

T2 - analysis of next generation sequencing data

AU - Korneliussen, Thorfinn Sand

AU - Albrechtsen, Anders

AU - Nielsen, Rasmus

PY - 2014

Y1 - 2014

N2 - BackgroundHigh-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously.ResultsWe present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods.ConclusionsThe open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd. The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.

AB - BackgroundHigh-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously.ResultsWe present a multithreaded program suite called ANGSD. This program can calculate various summary statistics, and perform association mapping and population genetic analyses utilizing the full information in next generation sequencing data by working directly on the raw sequencing data or by using genotype likelihoods.ConclusionsThe open source c/c++ program ANGSD is available at http://www.popgen.dk/angsd. The program is tested and validated on GNU/Linux systems. The program facilitates multiple input formats including BAM and imputed beagle genotype probability files. The program allow the user to choose between combinations of existing methods and can perform analysis that is not implemented elsewhere.

U2 - 10.1186/s12859-014-0356-4

DO - 10.1186/s12859-014-0356-4

M3 - Journal article

C2 - 25420514

VL - 15

JO - B M C Bioinformatics

JF - B M C Bioinformatics

SN - 1471-2105

M1 - 356

ER -

ID: 128169090