Glactools: a command-line toolset for the management of genotype likelihoods and allele counts

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Glactools : a command-line toolset for the management of genotype likelihoods and allele counts. / Renaud, Gabriel.

In: Bioinformatics (Online), Vol. 34, No. 8, 2018, p. 1398-1400.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Renaud, G 2018, 'Glactools: a command-line toolset for the management of genotype likelihoods and allele counts', Bioinformatics (Online), vol. 34, no. 8, pp. 1398-1400. https://doi.org/10.1093/bioinformatics/btx749

APA

Renaud, G. (2018). Glactools: a command-line toolset for the management of genotype likelihoods and allele counts. Bioinformatics (Online), 34(8), 1398-1400. https://doi.org/10.1093/bioinformatics/btx749

Vancouver

Renaud G. Glactools: a command-line toolset for the management of genotype likelihoods and allele counts. Bioinformatics (Online). 2018;34(8):1398-1400. https://doi.org/10.1093/bioinformatics/btx749

Author

Renaud, Gabriel. / Glactools : a command-line toolset for the management of genotype likelihoods and allele counts. In: Bioinformatics (Online). 2018 ; Vol. 34, No. 8. pp. 1398-1400.

Bibtex

@article{cc523745108741bdb98d063d038e6e36,
title = "Glactools: a command-line toolset for the management of genotype likelihoods and allele counts",
author = "Gabriel Renaud",
year = "2018",
doi = "10.1093/bioinformatics/btx749",
language = "English",
volume = "34",
pages = "1398--1400",
journal = "Bioinformatics (Online)",
issn = "1367-4811",
publisher = "Oxford University Press",
number = "8",

}

RIS

TY - JOUR

T1 - Glactools

T2 - a command-line toolset for the management of genotype likelihoods and allele counts

AU - Renaud, Gabriel

PY - 2018

Y1 - 2018

U2 - 10.1093/bioinformatics/btx749

DO - 10.1093/bioinformatics/btx749

M3 - Journal article

C2 - 29186325

VL - 34

SP - 1398

EP - 1400

JO - Bioinformatics (Online)

JF - Bioinformatics (Online)

SN - 1367-4811

IS - 8

ER -

ID: 195763548