Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages

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Zonkey : a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages. / Schubert, Mikkel; Mashkour, Marjan; Gaunitz, Charleen; Fages, Antoine Alphonse; Seguin-Orlando, Andaine; Sheikhi, Shiva; Alfarhan, Ahmed H.; Alquraishi, Saleh A.; Al-Rasheid, Khaled A. S.; Chuang, Richard; Ermini, Luca; Gamba, Cristina; Weinstock, Jaco; Vedat, Onar; Orlando, Ludovic Antoine Alexandre.

I: Journal of Archaeological Science, Bind 78, 02.2017, s. 147-157.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Schubert, M, Mashkour, M, Gaunitz, C, Fages, AA, Seguin-Orlando, A, Sheikhi, S, Alfarhan, AH, Alquraishi, SA, Al-Rasheid, KAS, Chuang, R, Ermini, L, Gamba, C, Weinstock, J, Vedat, O & Orlando, LAA 2017, 'Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages', Journal of Archaeological Science, bind 78, s. 147-157. https://doi.org/10.1016/j.jas.2016.12.005

APA

Schubert, M., Mashkour, M., Gaunitz, C., Fages, A. A., Seguin-Orlando, A., Sheikhi, S., Alfarhan, A. H., Alquraishi, S. A., Al-Rasheid, K. A. S., Chuang, R., Ermini, L., Gamba, C., Weinstock, J., Vedat, O., & Orlando, L. A. A. (2017). Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages. Journal of Archaeological Science, 78, 147-157. https://doi.org/10.1016/j.jas.2016.12.005

Vancouver

Schubert M, Mashkour M, Gaunitz C, Fages AA, Seguin-Orlando A, Sheikhi S o.a. Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages. Journal of Archaeological Science. 2017 feb.;78:147-157. https://doi.org/10.1016/j.jas.2016.12.005

Author

Schubert, Mikkel ; Mashkour, Marjan ; Gaunitz, Charleen ; Fages, Antoine Alphonse ; Seguin-Orlando, Andaine ; Sheikhi, Shiva ; Alfarhan, Ahmed H. ; Alquraishi, Saleh A. ; Al-Rasheid, Khaled A. S. ; Chuang, Richard ; Ermini, Luca ; Gamba, Cristina ; Weinstock, Jaco ; Vedat, Onar ; Orlando, Ludovic Antoine Alexandre. / Zonkey : a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages. I: Journal of Archaeological Science. 2017 ; Bind 78. s. 147-157.

Bibtex

@article{f486e35da9644c798fdddc53bf953e86,
title = "Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages",
keywords = "Ancient DNA, High-throughput sequencing, Equid, Fl-hybrid, Mule, Hinny",
author = "Mikkel Schubert and Marjan Mashkour and Charleen Gaunitz and Fages, {Antoine Alphonse} and Andaine Seguin-Orlando and Shiva Sheikhi and Alfarhan, {Ahmed H.} and Alquraishi, {Saleh A.} and Al-Rasheid, {Khaled A. S.} and Richard Chuang and Luca Ermini and Cristina Gamba and Jaco Weinstock and Onar Vedat and Orlando, {Ludovic Antoine Alexandre}",
year = "2017",
month = feb,
doi = "10.1016/j.jas.2016.12.005",
language = "English",
volume = "78",
pages = "147--157",
journal = "Journal of Archaeological Science",
issn = "0305-4403",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Zonkey

T2 - a simple, accurate and sensitive pipeline to genetically identify equine Fl-hybrids in archaeological assemblages

AU - Schubert, Mikkel

AU - Mashkour, Marjan

AU - Gaunitz, Charleen

AU - Fages, Antoine Alphonse

AU - Seguin-Orlando, Andaine

AU - Sheikhi, Shiva

AU - Alfarhan, Ahmed H.

AU - Alquraishi, Saleh A.

AU - Al-Rasheid, Khaled A. S.

AU - Chuang, Richard

AU - Ermini, Luca

AU - Gamba, Cristina

AU - Weinstock, Jaco

AU - Vedat, Onar

AU - Orlando, Ludovic Antoine Alexandre

PY - 2017/2

Y1 - 2017/2

KW - Ancient DNA

KW - High-throughput sequencing

KW - Equid

KW - Fl-hybrid

KW - Mule

KW - Hinny

U2 - 10.1016/j.jas.2016.12.005

DO - 10.1016/j.jas.2016.12.005

M3 - Journal article

VL - 78

SP - 147

EP - 157

JO - Journal of Archaeological Science

JF - Journal of Archaeological Science

SN - 0305-4403

ER -

ID: 180541709