Standard

Choice of transcripts and software has a large effect on variant annotation. / McCarthy, Davis J; Humburg, Peter; Kanapin, Alexander; Rivas, Manuel A; Gaulton, Kyle; Cazier, Jean-Baptiste; Donnelly, Peter.

в: Genome Medicine, Том 6, № 3, 2014, стр. 26.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

McCarthy, DJ, Humburg, P, Kanapin, A, Rivas, MA, Gaulton, K, Cazier, J-B & Donnelly, P 2014, 'Choice of transcripts and software has a large effect on variant annotation', Genome Medicine, Том. 6, № 3, стр. 26.

APA

McCarthy, D. J., Humburg, P., Kanapin, A., Rivas, M. A., Gaulton, K., Cazier, J-B., & Donnelly, P. (2014). Choice of transcripts and software has a large effect on variant annotation. Genome Medicine, 6(3), 26.

Vancouver

McCarthy DJ, Humburg P, Kanapin A, Rivas MA, Gaulton K, Cazier J-B и пр. Choice of transcripts and software has a large effect on variant annotation. Genome Medicine. 2014;6(3):26.

Author

McCarthy, Davis J ; Humburg, Peter ; Kanapin, Alexander ; Rivas, Manuel A ; Gaulton, Kyle ; Cazier, Jean-Baptiste ; Donnelly, Peter. / Choice of transcripts and software has a large effect on variant annotation. в: Genome Medicine. 2014 ; Том 6, № 3. стр. 26.

BibTeX

@article{4d48db7ea39546d5bb1a438aff9d9396,
title = "Choice of transcripts and software has a large effect on variant annotation",
author = "McCarthy, {Davis J} and Peter Humburg and Alexander Kanapin and Rivas, {Manuel A} and Kyle Gaulton and Jean-Baptiste Cazier and Peter Donnelly",
year = "2014",
language = "English",
volume = "6",
pages = "26",
journal = "Genome Medicine",
issn = "1756-994X",
publisher = "BioMed Central Ltd.",
number = "3",

}

RIS

TY - JOUR

T1 - Choice of transcripts and software has a large effect on variant annotation

AU - McCarthy, Davis J

AU - Humburg, Peter

AU - Kanapin, Alexander

AU - Rivas, Manuel A

AU - Gaulton, Kyle

AU - Cazier, Jean-Baptiste

AU - Donnelly, Peter

PY - 2014

Y1 - 2014

M3 - Article

VL - 6

SP - 26

JO - Genome Medicine

JF - Genome Medicine

SN - 1756-994X

IS - 3

ER -

ID: 34665281